Book Contents
Book Contents
Master Index
Master Index
SAS/STAT User's Guide

| | | | | | | | | | | | | | | | | | | | | | | | | |

C

C option
PROC CANCORR statement
C= option
OUTPUT statement (LOGISTIC)
CA option
TEST statement (MULTTEST) "Example 43.1: Cochran-Armitage Test with Permutation Resampling"
TEST statement (MULTTEST) "Statistical Tests"
calibration data set
DISCRIM procedure "Overview"
DISCRIM procedure "Saving and Using Calibration Information"
CALIS procedure
approximate covariance
approximate standard errors "Approximate Standard Errors"
approximate standard errors "Displayed Output"
approximate standard errors "PROC CALIS Statement"
approximate standard errors "PROC CALIS Statement"
asymptotic covariance "Estimation Criteria"
asymptotic covariance "PROC CALIS Statement"
asymptotic variances
asymptotically distribution free estimation "Estimation Criteria"
asymptotically distribution free estimation "PROC CALIS Statement"
chi-square indices
chi-square, adjusted
chi-square, displaying "Displayed Output"
chi-square, displaying "Displayed Output"
chi-square, displaying "Displayed Output"
chi-square, displaying "Displayed Output"
chi-square, reweighted
coefficient of determination
compared to MIXED procedure
computation method, Hessian matrix
computation method, Lagrange multipliers
computation method, standard errors
computational problems "Computational Problems"
computational problems "Computational Problems"
computational problems "Computational Problems"
computational problems "Computational Problems"
computational problems "Computational Problems"
computational problems "Computational Problems"
computational problems "Computational Problems"
computational problems, identification "Computational Problems"
computational problems, identification "Example 19.3: Second-Order Confirmatory Factor Analysis"
computational problems, identification "Example 19.4: Linear Relations Among Factor Loadings"
computational problems, identification "Example 19.5: Ordinal Relations Among Factor Loadings"
computational problems, identification "Example 19.6: Longitudinal Factor Analysis"
computational problems, identification "Use of Optimization Techniques"
constrained estimation
constraints "BOUNDS Statement"
constraints "Constrained Estimation Using Program Code"
constraints "Constrained Estimation Using Program Code"
constraints "Constrained Estimation Using Program Code"
constraints "Constrained Estimation Using Program Code"
constraints "Getting Started"
constraints "Getting Started"
constraints "Getting Started"
constraints "LINCON Statement"
constraints "NLINCON Statement"
constraints, program statements "Constrained Estimation Using Program Code"
constraints, program statements "Getting Started"
constraints, program statements "SAS Program Statements"
constraints, program statements "SAS Program Statements"
COSAN model "COSAN Model Statement"
COSAN model "Structural Equation Models"
COSAN model "Structural Equation Models"
degrees of freedom "Counting the Degrees of Freedom"
degrees of freedom "PROC CALIS Statement"
degrees of freedom "PROC CALIS Statement"
degrees of freedom "PROC CALIS Statement"
determination index
displayed output options "NLOPTIONS Statement"
displayed output options "PROC CALIS Statement"
disturbances, prefix
EQS program
estimation criteria
estimation methods "Estimation Criteria"
estimation methods "Estimation Criteria"
estimation methods "Estimation Criteria"
estimation methods "Estimation Criteria"
estimation methods "Estimation Criteria"
estimation methods "Estimation Criteria"
estimation methods "Estimation Criteria"
estimation methods "Overview"
estimation methods "PROC CALIS Statement"
estimation methods "Relationships among Estimation Criteria"
exogenous variables
factor analysis model "FACTOR Model Statement"
factor analysis model "FACTOR Model Statement"
factor analysis model "FACTOR Model Statement"
factor analysis model "Structural Equation Models"
factor analysis model "Structural Equation Models"
factor analysis model, COSAN statement
factor analysis model, LINEQS statement
factor analysis model, RAM statement
factor loadings
FACTOR procedure "Computational Problems"
FACTOR procedure "FACTOR Model Statement"
FACTOR procedure "PROC CALIS Statement"
FACTOR procedure "Syntax"
FACTOR procedure "Syntax"
factor rotation
factor scores "Displayed Output"
factor scores "Displayed Output"
factor scores "Output Data Sets"
factor scores "Output Data Sets"
fit function
goodness of fit "Assessment of Fit"
goodness of fit "Assessment of Fit"
goodness of fit "Displayed Output"
goodness of fit "Displayed Output"
goodness of fit "Estimation Criteria"
goodness of fit "Estimation Criteria"
gradient "Output Data Sets"
gradient "Use of Optimization Techniques"
gradient "Use of Optimization Techniques"
Hessian matrix "NLOPTIONS Statement"
Hessian matrix "NLOPTIONS Statement"
Hessian matrix "NLOPTIONS Statement"
Hessian matrix "NLOPTIONS Statement"
Hessian matrix "Output Data Sets"
Hessian matrix "Testing Rank Deficiency in the Approximate Covariance Matrix"
Hessian matrix "Use of Optimization Techniques"
Hessian matrix "Use of Optimization Techniques"
Hessian matrix "Use of Optimization Techniques"
initial values "Initial Estimates"
initial values "LINEQS Model Statement"
initial values "MATRIX Statement"
initial values "Overview"
initial values "PROC CALIS Statement"
initial values "RAM Model Statement"
input data set
kappa
kurtosis "Measures of Multivariate Kurtosis"
kurtosis "Measures of Multivariate Kurtosis"
kurtosis "Overview"
kurtosis "PROC CALIS Statement"
kurtosis "PROC CALIS Statement"
latent variables "LINEQS Model Statement"
latent variables "Overview"
latent variables "VARNAMES Statement"
likelihood ratio test "Assessment of Fit"
likelihood ratio test "Modification Indices"
LINEQS model "LINEQS Model Statement"
LINEQS model "Structural Equation Models"
LISREL model
manifest variables
matrix inversion
matrix names, default
matrix properties, COSAN model "COSAN Model Statement"
matrix properties, COSAN model "COSAN Model Statement"
MODEL procedure
modification indices "Approximate Standard Errors"
modification indices "Displayed Output"
modification indices "Modification Indices"
modification indices "Modification Indices"
modification indices "Modification Indices"
modification indices "Modification Indices"
modification indices "Modification Indices"
modification indices "Modification Indices"
modification indices "PROC CALIS Statement"
modification indices "PROC CALIS Statement"
modification indices "PROC CALIS Statement"
modification indices "PROC CALIS Statement"
modification indices "PROC CALIS Statement"
optimization "NLOPTIONS Statement"
optimization "Overview"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "PROC CALIS Statement"
optimization "Use of Optimization Techniques"
optimization "Use of Optimization Techniques"
optimization "Use of Optimization Techniques"
optimization "Use of Optimization Techniques"
optimization "Use of Optimization Techniques"
optimization "Use of Optimization Techniques"
optimization "Use of Optimization Techniques"
optimization "Use of Optimization Techniques"
optimization "Use of Optimization Techniques"
optimization "Use of Optimization Techniques"
optimization history
optimization, initial values "Initial Estimates"
optimization, initial values "Use of Optimization Techniques"
optimization, memory problems
optimization, termination criteria "NLOPTIONS Statement"
optimization, termination criteria "NLOPTIONS Statement"
optimization, termination criteria "NLOPTIONS Statement"
optimization, termination criteria "NLOPTIONS Statement"
optimization, termination criteria "NLOPTIONS Statement"
optimization, termination criteria "NLOPTIONS Statement"
optimization, termination criteria "NLOPTIONS Statement"
output data sets
output table names
predicted model matrix "Computational Problems"
predicted model matrix "Displayed Output"
predicted model matrix "Estimation Criteria"
predicted model matrix "Exogenous Manifest Variables"
predicted model matrix "Output Data Sets"
prefix name "LINEQS Model Statement"
prefix name "MATRIX Statement"
prefix name "RAM Model Statement"
prefix name "STD Statement"
PRINCOMP procedure
program statements "SAS Program Statements"
program statements "SAS Program Statements"
program statements, differentiation
RAM model "RAM Model Statement"
RAM model "Structural Equation Models"
reciprocal causation
REG procedure
residuals
residuals, prefix
SCORE procedure "Output Data Sets"
SCORE procedure "PROC CALIS Statement"
SCORE procedure "PROC CALIS Statement"
significance level
singularity criterion
singularity criterion, covariance matrix "PROC CALIS Statement"
singularity criterion, covariance matrix "PROC CALIS Statement"
singularity criterion, covariance matrix "PROC CALIS Statement"
skewness
squared multiple correlation "Assessment of Fit"
squared multiple correlation "Displayed Output"
step length
structural equation "Assessment of Fit"
structural equation "PROC CALIS Statement"
structural equation "STRUCTEQ Statement"
structural equation "STRUCTEQ Statement"
structural equation "Structural Equation Models"
SYSLIN procedure
SYSNLIN procedure
t value "Approximate Standard Errors"
t value "Displayed Output"
test indices, constraints
variable selection
Wald test, probability limit
CALIS procedure, BOUNDS statement
CALIS procedure, BY statement
CALIS procedure, COSAN statement
CALIS procedure, COV statement
CALIS procedure, FACTOR statement
COMPONENT option
HEYWOOD option
N= option
NORM option
ROTATE= option
CALIS procedure, FREQ statement
CALIS procedure, LINCON statement
CALIS procedure, LINEQS statement
CALIS procedure, MATRIX statement
CALIS procedure, NLINCON statement
CALIS procedure, NLOPTIONS statement
ABSCONV= option
ABSFCONV= option
ABSFTOL= option
ABSGCONV= option "NLOPTIONS Statement"
ABSGCONV= option "NLOPTIONS Statement"
ABSGTOL= option "NLOPTIONS Statement"
ABSGTOL= option "NLOPTIONS Statement"
ABSXCONV= option
ABSXTOL= option
ALL option
ASINGULAR= option
CFACTOR= option
COVSING= option
DAMPSTEP= option
FCONV= option "NLOPTIONS Statement"
FCONV= option "NLOPTIONS Statement"
FCONV2= option "NLOPTIONS Statement"
FCONV2= option "NLOPTIONS Statement"
FDIGITS= option
FSIZE= option
FTOL= option "NLOPTIONS Statement"
FTOL= option "NLOPTIONS Statement"
FTOL2= option "NLOPTIONS Statement"
FTOL2= option "NLOPTIONS Statement"
G4= option
GCONV= option "NLOPTIONS Statement"
GCONV= option "NLOPTIONS Statement"
GCONV= option "NLOPTIONS Statement"
GCONV2= option
GTOL= option "NLOPTIONS Statement"
GTOL= option "NLOPTIONS Statement"
GTOL= option "NLOPTIONS Statement"
GTOL2= option
HESCAL= option
INSTEP= option
LCDEACT= option
LCEPSILON= option
LCSINGULAR= option
LINESEARCH= option
LSPRECISION= option
MAXFUNC= option "NLOPTIONS Statement"
MAXFUNC= option "NLOPTIONS Statement"
MAXITER= option "NLOPTIONS Statement"
MAXITER= option "NLOPTIONS Statement"
MAXTIME= option
MINITER= option
MSINGULAR= option
NOEIGNUM option
NOHLF option
OMETHOD= option
PALL option
PCRPJAC option
PHESSIAN option
PHISTORY option
PINIT option
PJTJ option
PNLCJAC option
PRINT option
RADIUS= option
RESTART= option
SALPHA= option
SINGULAR= option
TECHNIQUE= option
UPDATE= option
VERSION= option
VSINGULAR= option
XCONV= option
XSIZE= option
XTOL= option
CALIS procedure, PARAMETERS statement
CALIS procedure, PARTIAL statement
CALIS procedure, PROC CALIS statement
ALL option
ALPHAECV= option
ALPHARMS= option
ASINGULAR= option
ASYCOV= option
AUGMENT option
BIASKUR option
CORR option
COVARIANCE option
COVSING= option
DATA= option
DEMPHAS= option
DFE= option
DFR= option
DFREDUCE= option
EDF= option
ESTDATA= option
FCONV= option
FDCODE option
FTOL= option
G4= option
GCONV= option
GTOL= option
HESSALG= option
INEST= option
INRAM= option
INSTEP= option
INVAR= option
INWGT= option
KURTOSIS option
LINESEARCH= option
LSPRECISION= option
MAXFUNC= option
MAXITER= option
METHOD= option
MODIFICATION option
MSINGULAR= option
NOADJDF option
NOBS= option
NODIAG option
NOINT option
NOMOD option
NOPRINT option
NOSTDERR option
OM= option
OMETHOD= option
OUTEST= option
OUTJAC option
OUTRAM= option
OUTSTAT= option
OUTVAR= option
OUTWGT= option
PALL option
PCORR option
PCOVES option
PDETERM option
PESTIM option
PINITIAL option
PJACPAT option
PLATCOV option
PREDET option
PRIMAT option
PRINT option
PRIVEC option
PSHORT option
PSUMMARY option
PWEIGHT option
RADIUS= option
RANDOM= option
RDF= option
RESIDUAL= option
RIDGE= option
SALPHA= option
SHORT option
SIMPLE option
SINGULAR= option
SLMW= option
SMETHOD= option
SPRECISION= option "PROC CALIS Statement"
SPRECISION= option "PROC CALIS Statement"
START= option
STDERR option
SUMMARY option
TECHNIQUE= option
TOTEFF option
UCORR option
UCOV option
UPDATE= option
VARDEF= option
VSINGULAR= option
WPENALTY= option
WRIDGE= option
CALIS procedure, RAM statement
CALIS procedure, STD statement
CALIS procedure, STRUCTEQ statement
CALIS procedure, VAR statement
CALIS procedure, VARNAMES statement
CALIS procedure, WEIGHT statement
CAN option
PROC DISCRIM statement
CANALS method
TRANSREG procedure
CANCORR procedure
analyzing data in groups
canonical coefficients
canonical redundancy analysis "Overview"
canonical redundancy analysis "PROC CANCORR Statement"
computational resources
correction for means
correlation "PROC CANCORR Statement"
correlation "PROC CANCORR Statement"
eigenvalues and eigenvectors "Displayed Output"
eigenvalues and eigenvectors "Getting Started"
examples "Example 20.1: Canonical Correlation Analysis of Fitness Club Data"
examples "Getting Started"
F statistics, Rao's approximation
input data set
missing values
OUT= data sets "Output Data Sets"
OUT= data sets "Output Data Sets"
OUT= data sets "PROC CANCORR Statement"
output data sets "Output Data Sets"
output data sets "PROC CANCORR Statement"
output data sets "PROC CANCORR Statement"
output table names
OUTSTAT= data sets
partial correlation "PARTIAL Statement"
partial correlation "PROC CANCORR Statement"
partial correlation "PROC CANCORR Statement"
regression coefficients
semipartial correlation "PROC CANCORR Statement"
semipartial correlation "PROC CANCORR Statement"
singularity checking
squared multiple correlation
squared partial correlation
squared semipartial correlation
statistical methods used
statistics computed
suppressing output
test criterion
weighted product-moment correlation coefficients
CANCORR procedure, BY statement
CANCORR procedure, FREQ statement
CANCORR procedure, PARTIAL statement
CANCORR procedure, PROC CANCORR statement
ALL option
B option
C option
CLB option
CORR option
CORRB option
DATA= option
EDF= option
INT option
NCAN= option
NOINT option
NOPRINT option
OUT= option
OUTSTAT= option
PCORR option
PROBT option
RDF= option
RED option
REDUNDANCY option
S option
SEB option
SHORT option
SIMPLE option
SING= option
SINGULAR= option
SMC option
SPCORR option
SQPCORR option
SQSPCORR option
STB option
T option
VDEP option
VN= option
VNAME= option
VP= option
VPREFIX= option
VREG option
WDEP option
WN= option
WNAME= option
WP= option
WPREFIX= option
WREG option
CANCORR procedure, VAR statement
CANCORR procedure, WEIGHT statement
CANCORR procedure, WITH statement
CANDISC procedure
computational details
computational resources
input data set
introductory example
Mahalanobis distance
MANOVA
memory requirements
missing values
multivariate analysis of variance
ODS table names
output data sets "Output Data Sets"
output data sets "Output Data Sets"
output data sets "PROC CANDISC Statement"
output data sets "PROC CANDISC Statement"
%PLOTIT macro "Example 21.1: Analysis of Iris Data Using PROC CANDISC"
%PLOTIT macro "Getting Started"
time requirements
CANDISC procedure, BY statement
CANDISC procedure, CLASS statement
CANDISC procedure, FREQ statement
CANDISC procedure, PROC CANDISC statement
ALL option
ANOVA option
BCORR option
BCOV option
BSSCP option
DATA= option
DISTANCE option
NCAN= option
NOPRINT option
OUT= option
OUTSTAT= option
PCORR option
PCOV option
PREFIX= option
PSSCP option
SHORT option
SIMPLE option
SINGULAR= option
STDMEAN option
TCORR option
TCOV option
TSSCP option
WCORR option
WCOV option
WSSCP option
CANDISC procedure, VAR statement
CANDISC procedure, WEIGHT statement
canonical analysis
ANOVA procedure
GLM procedure
repeated measurements
response surfaces "Introduction to Response Surface Experiments"
response surfaces "Introduction to Response Surface Experiments"
canonical coefficients
canonical component
canonical correlation
CANCORR procedure
definition
hypothesis tests
TRANSREG procedure "Model Statement Usage"
TRANSREG procedure "OUTPUT Statement"
canonical discriminant analysis
canonical factor solution
CANONICAL option
MANOVA statement (ANOVA)
MANOVA statement (GLM)
OUTPUT statement (TRANSREG)
PROC DISCRIM statement
REPEATED statement (ANOVA)
REPEATED statement (GLM)
canonical redundancy analysis
CANCORR procedure "Overview"
CANCORR procedure "PROC CANCORR Statement"
canonical variables
ANOVA procedure
TRANSREG procedure
canonical weights
CANPREFIX= option
PROC DISCRIM statement
CANPRINT option
MTEST statement (REG)
CASCADE= option
PROC MODECLUS statement
cascaded density estimates
MODECLUS procedure
case-control studies
odds ratio "Cochran-Mantel-Haenszel Statistics"
odds ratio "Odds Ratio and Relative Risks for 2[times ]2 Tables"
PHREG procedure "Example 49.3: Conditional Logistic Regression for m:n Matching"
PHREG procedure "MODEL Statement"
PHREG procedure "Overview"
casewise deletion
PRINQUAL procedure
categorical variable
CATMOD procedure
analysis of variance
at sign (@) operator
AVERAGED models
bar (|) operator
cautions "Cautions"
cautions "Logistic Analysis"
cautions "Logistic Analysis"
cell count data
classification variables
compared to other procedures "Logistic Analysis"
compared to other procedures "Logistic Analysis"
compared to other procedures "Parameterization of PROC GLM Models"
compared to other procedures "Types of Statistical Analyses"
computational method "Computational Formulas"
computational method "Computational Formulas"
computational method "Computational Formulas"
computational method "Computational Formulas"
computational method "Computational Method"
computational method "Computational Method"
computational method "Computational Method"
continuous variables
continuous variables, caution "Logistic Analysis"
continuous variables, caution "Logistic Analysis"
contrast examples
contrasts, comparing with GLM
convergence criterion
design matrix "MODEL Statement"
design matrix "POPULATION Statement"
design matrix, REPEATED statement
effect specification
effective sample sizes
estimation methods
_F_ specification
hypothesis tests
input data sets "Input Data Sets"
input data sets "Types of Input Data"
interactive use "Syntax"
interactive use "Using PROC CATMOD Interactively"
introductory example
linear models
log-linear models "Example 22.4: Log-Linear Model, Three Dependent Variables"
log-linear models "Example 22.5: Log-Linear Model, Structural and Sampling Zeros"
log-linear models "Log-Linear Model Analysis"
log-linear models "Poisson Regression"
log-linear models "Types of Statistical Analyses"
logistic analysis "Example 22.8: Repeated Measures, Logistic Analysis of Growth Curve"
logistic analysis "Logistic Analysis"
logistic analysis "Types of Statistical Analyses"
logistic regression "Example 22.3: Logistic Regression, Standard Response Function"
logistic regression "Logistic Analysis"
logistic regression "Types of Statistical Analyses"
maximum likelihood estimation "Background: The Underlying Model"
maximum likelihood estimation "MODEL Statement"
maximum likelihood estimation formulas
memory requirements
missing values
MODEL statement, examples
ordering of parameters
ordering of populations
ordering of responses
output data sets "Output Data Sets"
output data sets "Output Data Sets"
output data sets "RESPONSE Statement"
output data sets "RESPONSE Statement"
parameterization, comparing with GLM
positional requirements for statements
quasi-independence model
regression
repeated measures "Example 22.6: Repeated Measures, 2 Response Levels, 3 Populations"
repeated measures "Example 22.7: Repeated Measures, 4 Response Levels, 1 Population"
repeated measures "Example 22.8: Repeated Measures, Logistic Analysis of Growth Curve"
repeated measures "Example 22.9: Repeated Measures, Two Repeated Measurement Factors"
repeated measures "Repeated Measures Analysis"
repeated measures "REPEATED Statement"
repeated measures "Types of Statistical Analyses"
repeated measures, MODEL statements
REPEATED statement, examples
response functions "Example 22.10: Direct Input of Response Functions and Covariance Matrix"
response functions "Example 22.1: Linear Response Function, r=2 Responses"
response functions "Example 22.2: Mean Score Response Function, r=3 Responses"
response functions "FACTORS Statement"
response functions "FACTORS Statement"
response functions "Input Data Sets"
response functions "MODEL Statement"
response functions "RESPONSE Statement"
response functions "RESPONSE Statement"
response functions "RESPONSE Statement"
response functions "RESPONSE Statement"
response functions "RESPONSE Statement"
response functions "RESPONSE Statement"
response functions "RESPONSE Statement"
_RESPONSE_ keyword "Cautions"
_RESPONSE_ keyword "Displayed Output"
_RESPONSE_ keyword "FACTORS Statement"
_RESPONSE_ keyword "Generation of the Design Matrix"
_RESPONSE_ keyword "Generation of the Design Matrix"
_RESPONSE_ keyword "Generation of the Design Matrix"
_RESPONSE_ keyword "Log-Linear Model Analysis"
_RESPONSE_ keyword "LOGLIN Statement"
_RESPONSE_ keyword "MODEL Statement"
_RESPONSE_ keyword "MODEL Statement"
_RESPONSE_ keyword "Ordering of Populations and Responses"
_RESPONSE_ keyword "Repeated Measures Analysis"
_RESPONSE_ keyword "REPEATED Statement"
_RESPONSE_= option "FACTORS Statement"
_RESPONSE_= option "REPEATED Statement"
restrictions on parameters
sample survey analysis
sampling zeros and log-linear analyses
sensitivity
singular covariance matrix
specificity
time requirements
types of analysis "Specification of Effects"
types of analysis "Types of Statistical Analyses"
underlying model
weighted least squares "Background: The Underlying Model"
weighted least squares "MODEL Statement"
zeros, structural and sampling "Cautions"
zeros, structural and sampling "Example 22.5: Log-Linear Model, Structural and Sampling Zeros"
zeros, structural and sampling "Example 22.5: Log-Linear Model, Structural and Sampling Zeros"
CATMOD procedure, BY statement
CATMOD procedure, CONTRAST statement
ALPHA= option
ESTIMATE= option
CATMOD procedure, DIRECT statement
CATMOD procedure, FACTORS statement
PROFILE= option
_RESPONSE_= option
TITLE= option
CATMOD procedure, LOGLIN statement
TITLE= option
CATMOD procedure, MODEL statement
ADDCELL= option
AVERAGED option
CORRB option
COV option
COVB option
EPSILON= option
FREQ option
GLS option
MAXITER= option
ML option
NODESIGN option
NOINT option
NOITER option
NOPARM option
NOPREDVAR option
NOPRINT option
NOPROFILE option
NORESPONSE option
ONEWAY option
PRED= option
PREDICT option
PROB option
_RESPONSE_ keyword "Cautions"
_RESPONSE_ keyword "Displayed Output"
_RESPONSE_ keyword "FACTORS Statement"
_RESPONSE_ keyword "Generation of the Design Matrix"
_RESPONSE_ keyword "Generation of the Design Matrix"
_RESPONSE_ keyword "Generation of the Design Matrix"
_RESPONSE_ keyword "Log-Linear Model Analysis"
_RESPONSE_ keyword "LOGLIN Statement"
_RESPONSE_ keyword "MODEL Statement"
_RESPONSE_ keyword "MODEL Statement"
_RESPONSE_ keyword "Ordering of Populations and Responses"
_RESPONSE_ keyword "Repeated Measures Analysis"
_RESPONSE_ keyword "REPEATED Statement"
TITLE= option
WLS option
XPX option
CATMOD procedure, POPULATION statement
CATMOD procedure, PROC CATMOD statement
DATA=option
NAMELEN= option
NOPRINT option
ORDER= option
CATMOD procedure, REPEATED statement
PROFILE= option
_RESPONSE_= option
TITLE= option
CATMOD procedure, RESPONSE statement
ALOGIT function
CLOGIT function
JOINT function
LOGIT function
MARGINAL function
MEAN function
OUT= option
OUTEST= option
READ function
TITLE= option
CATMOD procedure, RESTRICT statement
CATMOD procedure, WEIGHT statement
CAXIS= option
PLOT statement (BOXPLOT)
PLOT statement (REG)
CBAR= option
OUTPUT statement (LOGISTIC)
CBLOCKVAR= option
PLOT statement (BOXPLOT)
CBOXES= option
PLOT statement (BOXPLOT)
CBOXFILL= option
PLOT statement (BOXPLOT)
CCC option
OUTPUT statement (TRANSREG)
PROC CLUSTER statement
CCONNECT= option
PLOT statement (BOXPLOT)
CCONVERGE= option
MODEL statement (TRANSREG)
PROC PRINQUAL statement
CDF keyword
OUTPUT statement (LIFEREG)
CDPREFIX= option
OUTPUT statement (TRANSREG)
CEC option
OUTPUT statement (TRANSREG)
cell count data
CATMOD procedure
example (FREQ)
cell of a contingency table
cell-means coding
TRANSREG procedure "ANOVA Codings"
TRANSREG procedure "MODEL Statement"
TRANSREG procedure "Model Statement Usage"
CELLCHI2 option
PROC CORRESP statement
TABLES statement (FREQ)
CENSCALE option
PROC PLS statement
censored
data (LIFEREG)
observations (PHREG)
survival times (PHREG) "Example 49.3: Conditional Logistic Regression for m:n Matching"
survival times (PHREG) "Example 49.3: Conditional Logistic Regression for m:n Matching"
survival times (PHREG) "Overview"
survival times (PHREG) "Overview"
values (PHREG) "Example 49.1: Stepwise Regression"
values (PHREG) "Getting Started"
CENSORED keyword
OUTPUT statement (LIFEREG)
CENSOREDSYMBOL= option
PROC LIFETEST statement
censoring
LIFEREG procedure "Model Specifications"
LIFEREG procedure "MODEL Statement"
right-, (LIFETEST)
variable (PHREG) "Example 49.3: Conditional Logistic Regression for m:n Matching"
variable (PHREG) "Getting Started"
variable (PHREG) "MODEL Statement"
variable (PHREG) "Programming Statements"
CENTER option
PROC MULTTEST statement
CENTER= option
RIDGE statement (RSREG)
center-point coding
TRANSREG procedure "ANOVA Codings"
TRANSREG procedure "MODEL Statement"
centroid component
definition
centroid method
CLUSTER procedure "Clustering Methods"
CLUSTER procedure "PROC CLUSTER Statement"
CENTROID option
PROC VARCLUS statement
CERTSIZE option
PROC SURVEYSELECT statement
CERTSIZE= option
PROC SURVEYSELECT statement "PROC SURVEYSELECT Statement"
PROC SURVEYSELECT statement "PROC SURVEYSELECT Statement"
PROC SURVEYSELECT statement "PROC SURVEYSELECT Statement"
CFACTOR= option
NLOPTIONS statement (CALIS)
PROC NLMIXED statement
CFRAME= option
PLOT statement (BOXPLOT)
PLOT statement (REG)
PROC TREE statement
chaining, reducing when clustering
CHANGE= option
PROC PRINQUAL statement
characteristic roots and vectors
ANOVA procedure
GLM procedure
chi-square
adjusted (CALIS)
displaying (CALIS) "Displayed Output"
displaying (CALIS) "Displayed Output"
displaying (CALIS) "Displayed Output"
displaying (CALIS) "Displayed Output"
indices (CALIS)
reweighted (CALIS)
chi-square tests
examples (FREQ) "Example 28.2: Computing Chi-square Tests for One-Way Frequency Tables"
examples (FREQ) "Example 28.4: Analyzing a 2x2 Contingency Table"
examples (FREQ) "Example 28.5: Creating an Output Data Set Containing Chi-Square Statistics"
FREQ procedure "Chi-Square Tests and Statistics"
FREQ procedure "Chi-Square Tests and Statistics"
CHISQ option
CONTRAST statement (MIXED)
EXACT statement (FREQ) "EXACT Statement"
EXACT statement (FREQ) "Example 28.4: Analyzing a 2x2 Contingency Table"
MODEL statement (MIXED)
OUTPUT statement (FREQ)
TABLES statement (FREQ) "Chi-Square Tests and Statistics"
TABLES statement (FREQ) "Example 28.4: Analyzing a 2x2 Contingency Table"
TABLES statement (FREQ) "TABLES Statement"
CHOCKING= option
PLOT statement (REG)
choice experiments
TRANSREG procedure
CHREF= option
PLOT statement (BOXPLOT)
PLOT statement (REG)
Chromy's method
SURVEYSELECT procedure "PPS Sequential Sampling"
SURVEYSELECT procedure "PROC SURVEYSELECT Statement"
SURVEYSELECT procedure "PROC SURVEYSELECT Statement"
SURVEYSELECT procedure "Sequential Random Sampling"
CI= option
PROC TTEST statement
Cicchetti-Allison weights
CICONV= option
MODEL statement (GENMOD)
CILPREFIX= option
OUTPUT statement (TRANSREG)
CIPREFIX= option
OUTPUT statement (TRANSREG)
CIUPREFIX= option
OUTPUT statement (TRANSREG)
CK= option
PROC MODECLUS statement
CL option
ESTIMATE statement (MIXED)
LSMEANS statement (GENMOD)
LSMEANS statement (GLM)
LSMEANS statement (MIXED)
MODEL statement (GENMOD)
MODEL statement (LOGISTIC)
MODEL statement (MIXED)
MODEL statement (TRANSREG)
RANDOM statement (MIXED)
TABLES statement (FREQ)
CL= option
PROC MIXED statement
class level
MIXED procedure
SURVEYMEANS procedure
CLASS statement
ANOVA procedure
CANDISC procedure
DISCRIM procedure
GENMOD procedure
GLM procedure
GLMMOD procedure
INBREED procedure
LIFEREG procedure
LOGISTIC procedure
MIXED procedure "CLASS Statement"
MIXED procedure "Default Output"
MULTTEST procedure
NESTED procedure
ORTHOREG procedure
PLS procedure
STEPDISC procedure
SURVEYMEANS procedure
SURVEYREG procedure
TTEST procedure
VARCOMP procedure
CLASS transformation
MODEL statement (TRANSREG)
classification criterion
DISCRIM procedure
error rate estimation (DISCRIM)
classification level
SURVEYREG procedure
classification table
LOGISTIC procedure "Classification Table"
LOGISTIC procedure "Example 39.5: Stratified Sampling"
LOGISTIC procedure "MODEL Statement"
classification variables
ANOVA procedure "Overview"
ANOVA procedure "Specification of Effects"
CATMOD procedure
GENMOD procedure
GLM procedure
MIXED procedure
sort order of levels (GENMOD)
specifying (GENMOD)
SURVEYMEANS procedure "CLASS Statement"
SURVEYMEANS procedure "Statistical Computation"
SURVEYMEANS procedure "Statistical Computation"
SURVEYREG procedure
TRANSREG procedure "MODEL Statement"
TRANSREG procedure "MODEL Statement"
VARCOMP procedure
CLB option
MODEL statement (REG)
PROC CANCORR statement
CLDIFF option
MEANS statement (ANOVA)
MEANS statement (GLM)
CLEAR option
PLOT statement (REG)
CLI option
MODEL statement (GLM)
MODEL statement (REG)
OUTPUT statement (TRANSREG)
CLINE= option
PLOT statement (REG)
CLM option
MEANS statement (ANOVA)
MEANS statement (GLM)
MODEL statement (GLM)
MODEL statement (REG)
MODEL statement(LOESS)
OUTPUT statement (TRANSREG)
SCORE statement(LOESS)
CLODDS= option
MODEL statement (LOGISTIC)
CLOGIT function
RESPONSE statement (CATMOD)
CLPARM option
MODEL statement (GLM)
MODEL statement (SURVEYREG)
CLPARM= option
MODEL statement (LOGISTIC)
CLTYPE= option
BASELINE statement (PHREG)
cluster
centers "Background"
centers "PROC FASTCLUS Statement"
definition (MODECLUS)
deletion
elliptical
final
initial "Background"
initial "Background"
mean
median "PROC FASTCLUS Statement"
median "PROC FASTCLUS Statement"
midrange
minimum distance separating
plotting (MODECLUS)
seeds
SURVEYMEANS procedure
SURVEYREG procedure
cluster analysis
disjoint
large data sets
robust "Overview"
robust "PROC FASTCLUS Statement"
tree diagrams "Overview"
tree diagrams "Overview"
cluster analysis (STDIZE)
standardizing
CLUSTER= option
PROC FASTCLUS statement
PROC MODECLUS statement
CLUSTER procedure
algorithms
association measure
average linkage
categorical data
centroid method
clustering methods "Details"
clustering methods "Overview"
complete linkage
computational resources
density linkage "Overview"
density linkage "PROC CLUSTER Statement"
Euclidean distances
F statistics "Miscellaneous Formulas"
F statistics "PROC CLUSTER Statement"
FASTCLUS procedure, compared
flexible-beta method "Clustering Methods"
flexible-beta method "Overview"
flexible-beta method "PROC CLUSTER Statement"
flexible-beta method "PROC CLUSTER Statement"
hierarchical clusters
input data sets
interval scale
kth-nearest-neighbor method
maximum likelihood "Overview"
maximum likelihood "PROC CLUSTER Statement"
McQuitty's similarity analysis
median method
memory requirements
missing values
non-Euclidean distances
output data sets "Output Data Set"
output data sets "PROC CLUSTER Statement"
output table names
pseudo F and t statistics
ratio scale
single linkage
size, shape, and correlation
test statistics "PROC CLUSTER Statement"
test statistics "PROC CLUSTER Statement"
test statistics "PROC CLUSTER Statement"
ties
time requirements
TREE procedure, compared "Overview"
TREE procedure, compared "Overview"
two-stage density linkage
types of data sets
using macros for many analyses
Ward's minimum-variance method
Wong's hybrid method
CLUSTER procedure, BY statement
CLUSTER procedure, COPY statement
CLUSTER procedure, FREQ statement
CLUSTER procedure, ID statement
CLUSTER procedure, PROC CLUSTER statement
BETA= option
CCC option
DATA= option
DIM= option
HYBRID option
K= option
MODE= option
NOEIGEN option
NOID option
NONORM option
NOPRINT option
NOSQUARE option
NOTIE option
OUTTREE= option
PENALTY= option
PRINT= option
PSEUDO= option
R= option
RMSSTD option
RSQUARE option
SIMPLE option
STANDARD option
TRIM= option
CLUSTER procedure, RMSSTD statement
CLUSTER procedure, VAR statement
cluster sampling
CLUSTER statement
SURVEYMEANS procedure
SURVEYREG procedure
clustering
approximate covariance estimation
average linkage "Clustering Methods"
average linkage "PROC CLUSTER Statement"
centroid method "Clustering Methods"
centroid method "PROC CLUSTER Statement"
complete linkage method "Clustering Methods"
complete linkage method "PROC CLUSTER Statement"
density linkage methods "Clustering Methods"
density linkage methods "Clustering Methods"
density linkage methods "Clustering Methods"
density linkage methods "Clustering Methods"
density linkage methods "PROC CLUSTER Statement"
density linkage methods "PROC CLUSTER Statement"
density linkage methods "PROC CLUSTER Statement"
density linkage methods "PROC CLUSTER Statement"
density linkage methods "PROC CLUSTER Statement"
density linkage methods "PROC CLUSTER Statement"
density linkage methods "PROC CLUSTER Statement"
density linkage methods "PROC CLUSTER Statement"
disjoint
Gower's method "Clustering Methods"
Gower's method "PROC CLUSTER Statement"
hierarchical
maximum-likelihood method "Clustering Methods"
maximum-likelihood method "Clustering Methods"
maximum-likelihood method "PROC CLUSTER Statement"
McQuitty's similarity analysis "Clustering Methods"
McQuitty's similarity analysis "PROC CLUSTER Statement"
median method "Clustering Methods"
median method "PROC CLUSTER Statement"
methods affected by frequencies
outliers in "Overview"
outliers in "PROC CLUSTER Statement"
penalty coefficient
single linkage "Clustering Methods"
single linkage "Clustering Methods"
single linkage "PROC CLUSTER Statement"
smoothing parameters
standardizing variables
transforming variables
two-stage density linkage
Ward's method "Clustering Methods"
Ward's method "PROC CLUSTER Statement"
weighted average linkage "Clustering Methods"
weighted average linkage "PROC CLUSTER Statement"
clustering and scaling
MODECLUS procedure "Clustering Methods"
MODECLUS procedure "Getting Started"
MODECLUS procedure "Overview"
MODECLUS procedure "Overview"
STDIZE procedure, example
clustering criterion
FASTCLUS procedure "Overview"
FASTCLUS procedure "PROC FASTCLUS Statement"
FASTCLUS procedure "PROC FASTCLUS Statement"
clustering methods
ACECLUS procedure
FASTCLUS procedure "Background"
FASTCLUS procedure "Background"
MODECLUS procedure "Clustering Methods"
MODECLUS procedure "Overview"
CMALLOWS= option
PLOT statement (REG)
CMH option
OUTPUT statement (FREQ)
TABLES statement (FREQ)
CMH1 option
OUTPUT statement (FREQ)
TABLES statement (FREQ)
CMH2 option
OUTPUT statement (FREQ)
TABLES statement (FREQ)
CMHCOR option
OUTPUT statement (FREQ)
CMHGA option
OUTPUT statement (FREQ)
CMHRMS option
OUTPUT statement (FREQ)
CMLPREFIX= option
OUTPUT statement (TRANSREG)
CMUPREFIX= option
OUTPUT statement (TRANSREG)
COCHQ option
OUTPUT statement (FREQ)
Cochran and Cox t approximation
COCHRAN option
PROC TTEST statement
Cochran's Q statistic (FREQ)
Cochran's Q statistic (FREQ)
Cochran's Q test
Cochran-Armitage test for trend
continuity correction (MULTTEST)
MULTTEST procedure "Example 43.1: Cochran-Armitage Test with Permutation Resampling"
MULTTEST procedure "Statistical Tests"
MULTTEST procedure "TEST Statement"
permutation distribution (MULTTEST)
two-tailed test (MULTTEST)
Cochran-Mantel-Haenszel statistics (FREQ)
ANOVA (row mean scores) statistic
correlation statistic
examples
general association statistic
COEF= option
PROC MDS statement
coefficient
alpha (FACTOR)
of contrast (SURVEYREG)
of determination (CALIS)
of estimate (SURVEYREG)
of relationship (INBREED)
of variation (SURVEYMEANS)
redundancy (TRANSREG)
COEFFICIENTS option
OUTPUT statement (TRANSREG)
cohort studies
relative risk "Cochran-Mantel-Haenszel Statistics"
relative risk "Cochran-Mantel-Haenszel Statistics"
relative risk "Odds Ratio and Relative Risks for 2[times ]2 Tables"
COLLECT option
PLOT statement (REG)
COLLIN option
MODEL statement (REG)
collinearity
REG procedure
COLLINOINT option
MODEL statement (REG)
COLUMN= option
PROC CORRESP statement
combinations
generating with PLAN procedure
common factor
defined for factor analysis
common factor analysis
common factor rotation
compared with principal component analysis
Harris component analysis
image component analysis
interpreting
comparing
groups (GLM)
means (TTEST) "Example 67.1: Comparing Group Means Using Input Data Set of Summary Statistics"
means (TTEST) "Overview"
variances (TTEST) "Computational Methods"
variances (TTEST) "Example 67.1: Comparing Group Means Using Input Data Set of Summary Statistics"
variances (TTEST) "Overview"
comparisonwise error rate (GLM)
complete block design
example (ANOVA)
example (GLM)
complete linkage
CLUSTER procedure "Clustering Methods"
CLUSTER procedure "PROC CLUSTER Statement"
complete separation
LOGISTIC procedure
completely randomized design
examples
COMPONENT option
FACTOR statement (CALIS)
components
PLS procedure
compound symmetry structure
example (MIXED) "Example 41.2: Repeated Measures"
example (MIXED) "Mixed Models Theory"
MIXED procedure
COMPRESS option
PROC FREQ statement
computational details
Hessian matrix (CALIS)
KDE procedure
Lagrange multipliers (CALIS)
LIFEREG procedure "Computational Method"
LIFEREG procedure "Model Specifications"
maximum likelihood method (VARCOMP)
MIVQUE0 method (VARCOMP)
MIXED procedure
restricted maximum likelihood method (VARCOMP)
SIM2D procedure
standard errors (CALIS)
SURVEYREG procedure
Type I method (VARCOMP)
VARCOMP procedure
computational problems
CALIS procedure
convergence (CALIS)
convergence (FASTCLUS)
convergence (MIXED)
identification (CALIS) "Computational Problems"
identification (CALIS) "Example 19.3: Second-Order Confirmatory Factor Analysis"
identification (CALIS) "Example 19.4: Linear Relations Among Factor Loadings"
identification (CALIS) "Example 19.5: Ordinal Relations Among Factor Loadings"
identification (CALIS) "Example 19.6: Longitudinal Factor Analysis"
identification (CALIS) "Use of Optimization Techniques"
negative eigenvalues (CALIS)
negative R-square (CALIS)
NLMIXED procedure
overflow (CALIS)
singular predicted model (CALIS)
time (CALIS)
computational resources
ACECLUS procedure
CANCORR procedure
CLUSTER procedure
FACTOR procedure
FASTCLUS procedure "Computational Resources"
FASTCLUS procedure "Computational Resources"
LIFEREG procedure
MODECLUS procedure
MULTTEST procedure
NLMIXED procedure
PRINCOMP procedure
VARCLUS procedure
COMPUTE statement
VARIOGRAM procedure
concordant observations
CONDITION= option
PROC MDS statement
conditional and unconditional simulation
SIM2D procedure
conditional data
MDS procedure
conditional distributions of multivariate normal random variables
SIM2D procedure
conditional logistic regression
PHREG procedure "Example 49.3: Conditional Logistic Regression for m:n Matching"
PHREG procedure "Overview"
CONF option
PLOT statement (REG)
confidence intervals
confidence coefficient (GENMOD)
exact (FREQ)
fitted values of the mean (GENMOD) "MODEL Statement"
fitted values of the mean (GENMOD) "Predicted Values of the Mean"
individual observation (RSREG) "MODEL Statement"
individual observation (RSREG) "MODEL Statement"
means (ANOVA)
means (RSREG) "MODEL Statement"
means (RSREG) "MODEL Statement"
model confidence interval (NLIN)
pairwise differences (ANOVA)
parameter confidence interval (NLIN)
profile likelihood (GENMOD) "Confidence Intervals for Parameters"
profile likelihood (GENMOD) "MODEL Statement"
profile likelihood (GENMOD) "MODEL Statement"
profile likelihood (LOGISTIC) "Confidence Intervals for Parameters"
profile likelihood (LOGISTIC) "MODEL Statement"
profile likelihood (LOGISTIC) "MODEL Statement"
TTEST procedure
Wald (GENMOD) "Confidence Intervals for Parameters"
Wald (GENMOD) "MODEL Statement"
Wald (LOGISTIC) "Confidence Intervals for Parameters"
Wald (LOGISTIC) "MODEL Statement"
confidence level
baseline survivor function (PHREG)
SURVEYMEANS procedure
SURVEYREG procedure
confidence limits
baseline survivor function (PHREG) "BASELINE Statement"
baseline survivor function (PHREG) "BASELINE Statement"
baseline survivor function (PHREG) "Survival Distribution Estimates for the Cox Model"
LOGISTIC procedure
MIXED procedure
SURVEYMEANS procedure "Statistical Computation"
SURVEYMEANS procedure "Statistical Computation"
SURVEYREG procedure
TRANSREG procedure "MODEL Statement"
TRANSREG procedure "OUTPUT Statement"
TRANSREG procedure "OUTPUT Statement"
TRANSREG procedure "OUTPUT Statement"
TRANSREG procedure "OUTPUT Statement"
TRANSREG procedure "OUTPUT Statement"
TRANSREG procedure "OUTPUT Statement"
TRANSREG procedure "OUTPUT Statement"
TRANSREG procedure "OUTPUT Statement"
TRANSREG procedure "OUTPUT Statement"
TRANSREG procedure "OUTPUT Statement"
configuration
MDS procedure
conjoint analysis
TRANSREG procedure "Example 65.2: Nonmetric Conjoint Analysis of Tire Data"
TRANSREG procedure "Example 65.3: Metric Conjoint Analysis of Tire Data"
TRANSREG procedure "Example 65.3: Metric Conjoint Analysis of Tire Data"
TRANSREG procedure "MODEL Statement"
TRANSREG procedure "Model Statement Usage"
TRANSREG procedure "Model Statement Usage"
TRANSREG procedure "Model Statement Usage"
conjugate
descent (NLMIXED)
gradient (NLMIXED)
gradient algorithm (CALIS) "PROC CALIS Statement"
gradient algorithm (CALIS) "PROC CALIS Statement"
gradient algorithm (CALIS) "PROC CALIS Statement"
gradient algorithm (CALIS) "PROC CALIS Statement"
gradient algorithm (CALIS) "Use of Optimization Techniques"
constant transformations
avoiding (PRINQUAL)
avoiding (TRANSREG)
constant variables
PRINQUAL procedure
TRANSREG procedure "Constant Variables"
TRANSREG procedure "MODEL Statement"
constrained estimation
CALIS procedure
constraints
boundary (CALIS) "BOUNDS Statement"
boundary (CALIS) "Constrained Estimation Using Program Code"
boundary (CALIS) "Constrained Estimation Using Program Code"
boundary (CALIS) "Getting Started"
boundary (MIXED) "PARMS Statement"
boundary (MIXED) "PARMS Statement"
linear (CALIS) "Constrained Estimation Using Program Code"
linear (CALIS) "Getting Started"
linear (CALIS) "LINCON Statement"
modification indices (CALIS) "PROC CALIS Statement"
modification indices (CALIS) "PROC CALIS Statement"
nonlinear (CALIS) "Getting Started"
nonlinear (CALIS) "NLINCON Statement"
ordered (CALIS)
program statements (CALIS) "Constrained Estimation Using Program Code"
program statements (CALIS) "Getting Started"
program statements (CALIS) "SAS Program Statements"
program statements (CALIS) "SAS Program Statements"
test indices (CALIS)
CONTAIN option
MODEL statement (MIXED)
containment method
MIXED procedure
CONTGY option
OUTPUT statement (FREQ)
contingency coefficient
contingency tables
CATMOD procedure
CONTINUITY= option
TEST statement (MULTTEST)
continuity-adjusted chi-square
CONTINUOUS option
PLOT statement (BOXPLOT)
continuous variables
GENMOD procedure
continuous-by-class effects
MIXED procedure
model parameterization (GLM)
specifying (GLM)
continuous-nesting-class effects
MIXED procedure
model parameterization (GLM)
specifying (GLM)
%CONTOUR macro
DISCRIM procedure
CONTRAST keyword
REPEATED statement (ANOVA)
CONTRAST option
REPEATED statement (GLM) "Repeated Measures Analysis of Variance"
REPEATED statement (GLM) "REPEATED Statement"
CONTRAST statement
CATMOD procedure
GENMOD procedure
GLM procedure
LOGISTIC procedure
MIXED procedure
MULTTEST procedure
NLMIXED procedure
SURVEYREG procedure
contrasts
comparing CATMOD and GLM
GENMOD procedure
GLM procedure
MIXED procedure "CONTRAST Statement"
MIXED procedure "ESTIMATE Statement"
repeated measurements (ANOVA) "REPEATED Statement"
repeated measurements (ANOVA) "REPEATED Statement"
repeated measures (GLM)
specifying (CATMOD)
SURVEYREG procedure "Computational Method"
SURVEYREG procedure "CONTRAST Statement"
control
comparing treatments to (GLM)
control charts
CONTROL keyword
OUTPUT statement (LIFEREG)
control sorting
SURVEYSELECT procedure "CONTROL Statement"
SURVEYSELECT procedure "PROC SURVEYSELECT Statement"
SURVEYSELECT procedure "Sorting by CONTROL Variables"
CONTROL statement
NLIN procedure
SURVEYSELECT procedure
CONVERGE option
MODEL statement (TRANSREG)
CONVERGE= option
MODEL statement (GENMOD)
MODEL statement (LIFEREG)
MODEL statement (LOGISTIC)
PROC ACECLUS statement
PROC FACTOR statement
PROC FASTCLUS statement
PROC MDS statement
PROC NLIN statement
PROC PRINQUAL statement
REPEATED statement (GENMOD)
TABLES statement (FREQ)
convergence criterion
ACECLUS procedure
CATMOD procedure
GENMOD procedure "MODEL Statement"
GENMOD procedure "REPEATED Statement"
MDS procedure "PROC MDS Statement"
MDS procedure "PROC MDS Statement"
MDS procedure "PROC MDS Statement"
MIXED procedure "Computational Issues"
MIXED procedure "Default Output"
MIXED procedure "PROC MIXED Statement"
MIXED procedure "PROC MIXED Statement"
profile likelihood (LOGISTIC)
convergence problems
MIXED procedure
NLMIXED procedure
CONVERGEOBJ= option
PROC NLIN statement
CONVERGEPARM= option
PROC NLIN statement
CONVF option
PROC MIXED statement "Default Output"
PROC MIXED statement "PROC MIXED Statement"
CONVG option
PROC MIXED statement "Default Output"
PROC MIXED statement "PROC MIXED Statement"
CONVG= option
MODEL statement (LIFEREG)
CONVH option
PROC MIXED statement "Default Output"
PROC MIXED statement "PROC MIXED Statement"
CONVH= option
MODEL statement (GENMOD)
convolution
distribution (MULTTEST)
KDE procedure
Cook's D influence statistic
COOKD keyword
OUTPUT statement (GLM)
COORDINATES option
OUTPUT statement (TRANSREG)
COORDINATES statement
KRIGE2D procedure
SIM2D procedure
VARIOGRAM procedure
COPY statement
TREE procedure
CORE option
PROC MODECLUS statement
CORR option
LSMEANS statement (GENMOD)
LSMEANS statement (MIXED)
PROC CALIS statement
PROC CANCORR statement
PROC FACTOR statement
PROC NLMIXED statement
PROC REG statement
PROC VARCLUS statement
CORR= option
REPEATED statement (GENMOD)
CORR procedure
CORRB option
MODEL statement (CATMOD)
MODEL statement (GENMOD)
MODEL statement (LIFEREG)
MODEL statement (LOGISTIC)
MODEL statement (MIXED)
MODEL statement (PHREG)
MODEL statement (REG)
PROC CANCORR statement
REPEATED statement (GENMOD)
correction for means
CANCORR procedure
CORRECT=NO option
PROC NPAR1WAY statement
correlated data
GEE (GENMOD) "Generalized Estimating Equations"
GEE (GENMOD) "Overview"
correlation
CANCORR procedure
estimates (MIXED) "Example 41.2: Repeated Measures"
estimates (MIXED) "RANDOM Statement"
estimates (MIXED) "RANDOM Statement"
estimates (MIXED) "REPEATED Statement"
length (VARIOGRAM)
matrix (GENMOD) "Generalized Linear Models Theory"
matrix (GENMOD) "MODEL Statement"
matrix (REG)
matrix, estimated (CATMOD)
principal components "Displayed Output"
principal components "Output Data Sets"
range (KRIGE2D)
statistic (FREQ)
CORRELATIONS option
PROC PRINQUAL statement
CORRESP procedure
adjusted inertias
algorithm
analyse des correspondances
appropriate scoring "Background"
appropriate scoring "Background"
Best variables
binary design matrix
Burt table "PROC CORRESP Statement"
Burt table "Types of Tables Used as Input"
BY statement
coding
COLUMN= option, use
computational resources
correspondence analysis
doubling
dual scaling
fuzzy coding "Coding, Fuzzy Coding, and Doubling"
fuzzy coding "Coding, Fuzzy Coding, and Doubling"
geometry of distance between points "Algorithm and Notation"
geometry of distance between points "Example 24.1: Simple Correspondence Analysis of Cars and Their Owners"
geometry of distance between points "Example 24.1: Simple Correspondence Analysis of Cars and Their Owners"
homogeneity analysis
ID statement
inertia, definition
input tables and variables "Input Data Set"
input tables and variables "Syntax"
input tables and variables "Types of Tables Used as Input"
matrix decompositions "Algorithm and Notation"
matrix decompositions "PROC CORRESP Statement"
matrix formulas for statistics
memory requirements
missing values "Coding, Fuzzy Coding, and Doubling"
missing values "Missing and Invalid Data"
missing values "PROC CORRESP Statement"
multiple correspondence analysis (MCA) "Algorithm and Notation"
multiple correspondence analysis (MCA) "Example 24.2: Multiple Correspondence Analysis of Cars and Their Owners"
multiple correspondence analysis (MCA) "PROC CORRESP Statement"
optimal scaling
optimal scoring "Background"
optimal scoring "Background"
OUTC= data set
OUTF= data set
output data sets
output table names
partial contributions to inertia table
%PLOTIT macro "Example 24.2: Multiple Correspondence Analysis of Cars and Their Owners"
%PLOTIT macro "Example 24.3: Simple Correspondence Analysis of U.S. Population"
%PLOTIT macro "Getting Started"
PROC CORRESP statement
PROFILE= option, use
quantification method
reciprocal averaging
ROW= option, use
scalogram analysis
supplementary rows and columns "Algorithm and Notation"
supplementary rows and columns "SUPPLEMENTARY Statement"
SUPPLEMENTARY statement
syntax, abbreviations
TABLES statement
TABLES statement, use "Syntax"
TABLES statement, use "TABLES Statement"
TABLES statement, use "Using the TABLES Statement"
time requirements
VAR statement
VAR statement, use "Syntax"
VAR statement, use "Using the VAR Statement"
VAR statement, use "VAR Statement"
WEIGHT statement
CORRESP procedure, PROC CORRESP statement
ALL option
BENZECRI option
BINARY option
CELLCHI2 option
COLUMN= option
CP option
CROSS= option
DATA= option
DEVIATION option
DIMENS= option
EXPECTED option
FREQOUT option
GREENACRE option
MCA option
MININERTIA= option
MISSING option
NOCOLUMN= option
NOPRINT option
NOROW= option
NVARS= option
OBSERVED option
OUTC= option
OUTF= option
PRINT= option
PROFILE= option
ROW= option
RP option
SHORT option
SINGULAR= option
SOURCE option
UNADJUSTED option
correspondence analysis
CORRESP procedure
CORRW option
REPEATED statement (GENMOD)
COSAN model
CALIS procedure "COSAN Model Statement"
CALIS procedure "Structural Equation Models"
CALIS procedure "Structural Equation Models"
specification
structural model example (CALIS)
COSAN statement, CALIS procedure
counting process
PHREG procedure
COV option
LSMEANS statement (GENMOD)
LSMEANS statement (GLM)
LSMEANS statement (MIXED)
MODEL statement (CATMOD)
PROC LATTICE statement
PROC NLMIXED statement
PROC PRINCOMP statement
COV statement, CALIS procedure
COVAR option
PROC INBREED statement
COVAR= option
MODEL statement (RSREG)
covariance
LATTICE procedure
parameter estimates (MIXED) "PROC MIXED Statement"
parameter estimates (MIXED) "PROC MIXED Statement"
parameter estimates, ratio (MIXED)
parameters (MIXED)
principal components "Displayed Output"
principal components "Output Data Sets"
regression coefficients (SURVEYREG)
covariance matrix
for parameter estimates (CATMOD)
for response functions (CATMOD)
GENMOD procedure "Generalized Linear Models Theory"
GENMOD procedure "MODEL Statement"
NLMIXED procedure "Covariance Matrix"
NLMIXED procedure "Displayed Output"
PHREG procedure "MODEL Statement"
PHREG procedure "Newton-Raphson Method"
PHREG procedure "PROC PHREG Statement"
REG procedure
singular (CATMOD)
symmetric and positive definite (SIM2D)
COVARIANCE option
PROC CALIS statement
PROC FACTOR statement
PROC LATTICE statement
PROC PRINCOMP statement
PROC PRINQUAL statement
PROC VARCLUS statement
covariance parameter estimates
MIXED procedure
covariance structures
examples (MIXED) "Example 41.2: Repeated Measures"
examples (MIXED) "REPEATED Statement"
MIXED procedure "Notation for the Mixed Model"
MIXED procedure "REPEATED Statement"
covariates
LIFETEST procedure
MIXED procedure
model parameterization (GLM)
COVARIATES= option
BASELINE statement (PHREG)
COVB option
MODEL statement (CATMOD)
MODEL statement (GENMOD)
MODEL statement (LIFEREG)
MODEL statement (LOGISTIC)
MODEL statement (MIXED)
MODEL statement (PHREG)
MODEL statement (REG)
MODEL statement (SURVEYREG)
REPEATED statement (GENMOD)
COVBI option
MODEL statement (MIXED)
COVOUT option
PROC LIFEREG statement
PROC LOGISTIC statement
PROC PHREG statement
PROC PROBIT statement
PROC REG statement
COVRATIO keyword
OUTPUT statement (GLM)
COVRATIO statistic
COVSING= option
NLOPTIONS statement (CALIS)
PROC CALIS statement
PROC NLMIXED statement
COVTEST option
PROC MIXED statement "Default Output"
PROC MIXED statement "PROC MIXED Statement"
Cox regression analysis
PHREG procedure
semiparametric model (PHREG)
CP option
MODEL statement (REG)
PLOT statement (REG)
PROC CORRESP statement
CPC option
OUTPUT statement (TRANSREG)
CPREFIX= option
CLASS statement (LOGISTIC)
MODEL statement (TRANSREG) "MODEL Statement"
MODEL statement (TRANSREG) "MODEL Statement"
CQC option
OUTPUT statement (TRANSREG)
CR= option
PROC MODECLUS statement
Cramer's V statistic
Cramer-von Mises statistics
NPAR1WAY procedure
CRAMV option
OUTPUT statement (FREQ)
Crime Rates Data, example
PRINCOMP procedure
CRITMIN= option
PROC MDS statement
CROSS option
PROC MODECLUS statement
CROSS= option
PROC CORRESP statement
cross validated density estimates
MODECLUS procedure
cross validation
DISCRIM procedure
PLS procedure "Basic Features"
PLS procedure "Cross Validation"
PLS procedure "Cross Validation"
PLS procedure "PROC PLS Statement"
crossed effects
design matrix (CATMOD)
GENMOD procedure
MIXED procedure
model parameterization (GLM)
specifying (ANOVA) "Specification of Effects"
specifying (ANOVA) "Specification of Effects"
specifying (CATMOD)
specifying (GLM)
CROSSLIST option
PROC DISCRIM statement
PROC MODECLUS statement
CROSSLISTERR option
PROC DISCRIM statement
crossproducts matrix
REG procedure
crosstabulation tables
CROSSVALIDATE option
PROC DISCRIM statement
CTABLE option
MODEL statement (LOGISTIC)
CTEXT= option
PLOT statement (BOXPLOT)
PLOT statement (REG)
cubic clustering criterion
CLUSTER procedure
CUMCOL option
TABLES statement (FREQ)
cumulative baseline hazard function
PHREG procedure
cumulative distribution function
LIFEREG procedure
LIFETEST procedure
cumulative logits
examples, (CATMOD)
specifying in CATMOD procedure
using (CATMOD)
custom scoring coefficients, example
SCORE procedure
CUTOFF= option
PROC MDS statement
CV= option
PROC PLS statement
CVALS= option
OUTPUT statement (PLAN)
CVREF= option
PLOT statement (BOXPLOT)
PLOT statement (REG)
CVTEST= option
PROC PLS statement

| | | | | | | | | | | | | | | | | | | | | | | | | |

Book Contents
Book Contents
Master Index
Master Index
Top
Top