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X |
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Z |
S
-
S convergence measure
-
S option
- PROC CANCORR statement
-
saddle test, definition
- MODECLUS procedure
-
SALPHA= option
- NLOPTIONS statement (CALIS)
- PROC CALIS statement
-
Sampford's method
- SURVEYSELECT procedure "PROC SURVEYSELECT Statement"
- SURVEYSELECT procedure "Sampford's PPS Method"
-
sample selection methods
- SURVEYSELECT procedure
-
sample size
- CATMOD procedure
- SURVEYSELECT procedure
-
sample survey analysis, ordinal data
-
sampling fraction
-
sampling frame
-
sampling rate
- SURVEYMEANS procedure "PROC SURVEYMEANS Statement"
- SURVEYMEANS procedure "Specification of Population Totals and Sampling Rates"
- SURVEYREG procedure "PROC SURVEYREG Statement"
- SURVEYREG procedure "Specification of Population Totals and Sampling Rates"
- SURVEYSELECT procedure
-
sampling unit
-
sampling weight
-
sampling zeros
- and log-linear analyses (CATMOD)
- and structural zeros (CATMOD)
-
SAMPRATE= option
- PROC SURVEYSELECT statement "PROC SURVEYSELECT Statement"
- PROC SURVEYSELECT statement "PROC SURVEYSELECT Statement"
-
SAMPSIZE= option
- PROC SURVEYSELECT statement "PROC SURVEYSELECT Statement"
- PROC SURVEYSELECT statement "PROC SURVEYSELECT Statement"
-
sandwich estimator
- MIXED procedure
-
SAS data set
- DATA step
- summarizing "Base SAS Software"
- summarizing "Base SAS Software"
-
SAS/ETS software
-
SAS/GRAPH software
-
SAS/IML software
-
SAS/INSIGHT software
-
SAS/OR software
-
SAS/QC software
-
Satterthwaite method
- MIXED procedure
-
Satterthwaite's approximation
- testing random effects
-
SAVAGE option
- EXACT statement (NPAR1WAY)
- OUTPUT statement (NPAR1WAY)
- PROC NPAR1WAY statement
-
Savage scores
- NPAR1WAY procedure
-
Savage test
- LIFETEST procedure
-
SAVE option
- PROC NLIN statement
-
SBC option
- MODEL statement (REG)
- PLOT statement (REG)
-
scale estimates
- FASTCLUS procedure "Output Data Sets"
- FASTCLUS procedure "PROC FASTCLUS Statement"
- FASTCLUS procedure "PROC FASTCLUS Statement"
- FASTCLUS procedure "Updates in the FASTCLUS Procedure"
-
SCALE= option
- MODEL statement (GENMOD)
- MODEL statement (KRIGE2D)
- MODEL statement (LIFEREG)
- MODEL statement (LOGISTIC)
- MODEL statement(LOESS)
- SIMULATE statement (SIM2D)
-
scale parameter
- GENMOD procedure
-
SCALEDINDEP option
- MODEL statement(LOESS)
-
scaling variables
- MODECLUS procedure
- STDIZE procedure
-
scalogram analysis
- CORRESP procedure
-
Scheff's multiple-comparison procedure
-
SCHEFFE option
- MEANS statement (ANOVA)
- MEANS statement (GLM)
-
Schoenfeld residuals
- PHREG procedure "OUTPUT Statement"
- PHREG procedure "Residuals"
-
Schwarz criterion
- LOGISTIC procedure
-
Schwarz's Bayesian information criterion
- example (MIXED) "Example 41.1: Split-Plot Design"
- example (MIXED) "Example 41.2: Repeated Measures"
- example (MIXED) "Example 41.6: Line-Source Sprinkler Irrigation"
- MIXED procedure "Default Output"
- MIXED procedure "Mixed Models Theory"
- MIXED procedure "PROC MIXED Statement"
-
SCORE option
- PROC FACTOR statement
-
SCORE= option
- PROC SCORE statement
-
SCORE procedure
- CALIS procedure "Output Data Sets"
- CALIS procedure "PROC CALIS Statement"
- CALIS procedure "PROC CALIS Statement"
- computational resources
- examples "Examples"
- examples "Getting Started"
- input data set
- OUT= data sets
- output data set "Output Data Set"
- output data set "PROC SCORE Statement"
- PRINCOMP procedure
- regression parameter estimates from REG procedure
- scoring coefficients
-
SCORE procedure, BY statement
-
SCORE procedure, ID statement
-
SCORE procedure, PROC SCORE statement
- DATA= option
- NOSTD option
- OUT= option
- PREDICT option
- RESIDUAL option
- SCORE= option
- TYPE= option
-
SCORE procedure, VAR statement
-
score residuals
- PHREG procedure "OUTPUT Statement"
- PHREG procedure "Residuals"
-
SCORE statement
- LOESS procedure
-
SCORE statement, TPSPLINE procedure
-
score statistics
- GENMOD procedure
- LOGISTIC procedure
-
score test
- PHREG procedure "Displayed Output"
- PHREG procedure "Example 49.1: Stepwise Regression"
- PHREG procedure "Example 49.1: Stepwise Regression"
- PHREG procedure "MODEL Statement"
- PHREG procedure "MODEL Statement"
- PHREG procedure "Testing the Global Null Hypothesis"
-
score variables
- interpretation (SCORE)
-
scores
- NPAR1WAY procedure
-
SCORES option
- PROC PRINQUAL statement
-
SCORES= option
- EXACT statement (NPAR1WAY)
- OUTPUT statement (NPAR1WAY)
- PROC NPAR1WAY statement
- TABLES statement (FREQ) "Example 28.8: Computing Friedman's Chi-Square Statistic"
- TABLES statement (FREQ) "TABLES Statement"
-
scoring
- MIXED procedure "Computational Issues"
- MIXED procedure "PROC MIXED Statement"
- MIXED procedure "PROC MIXED Statement"
-
scoring coefficients (SCORE)
-
SCORING= option
- MODEL statement (GENMOD)
- PROC MIXED statement
-
SCOROUT option
- TABLES statement (FREQ)
-
SCORR option
- EXACT statement (FREQ)
- OUTPUT statement (FREQ)
- TEST statement (FREQ)
-
SCORR1 option
- MODEL statement (REG)
-
SCORR2 option
- MODEL statement (REG)
-
SCREE option
- PROC FACTOR statement
-
scree plot
-
screening design, analysis
-
screening experiments
- GLMMOD procedure
-
SCWGT statement
- GENMOD procedure
-
SEB option
- PROC CANCORR statement
-
SEED option
- PROC NLMIXED statement
- PROC PLAN statement
-
SEED= option
- EXACT statement (FREQ)
- EXACT statement (NPAR1WAY)
- PRIOR statement (MIXED)
- PROC FASTCLUS statement
- PROC MULTTEST statement
- PROC PLS statement "PROC PLS Statement"
- PROC PLS statement "PROC PLS Statement"
- PROC SURVEYSELECT statement
- SIMULATE statement (SIM2D)
-
SEED statement
- VARCLUS procedure
-
SELECTION= option
- MODEL statement (LOGISTIC)
- MODEL statement (PHREG)
- MODEL statement (REG)
- REG procedure, MODEL statement
-
semiparametric model
- PHREG procedure
-
semipartial correlation
- CANCORR procedure
- formula (CLUSTER)
-
semivariogram
- computation (VARIOGRAM)
- empirical (or experimental) (VARIOGRAM) "Preliminary Variogram Analysis"
- empirical (or experimental) (VARIOGRAM) "Preliminary Variogram Analysis"
- robust (VARIOGRAM) "COMPUTE Statement"
- robust (VARIOGRAM) "Sample Variogram Computation and Plots"
- robust (VARIOGRAM) "Theoretical and Computational Details of the Semivariogram"
- robust (VARIOGRAM) "Theoretical and Computational Details of the Semivariogram"
-
sensitivity
- CATMOD procedure
-
SEPARATORS= option
- MODEL statement (TRANSREG)
-
SEQB option
- MODEL statement (REG)
-
SEQUENTIAL option
- MODEL statement (LOGISTIC)
- MODEL statement (PHREG)
-
sequential random sampling
- SURVEYSELECT procedure "PROC SURVEYSELECT Statement"
- SURVEYSELECT procedure "Sequential Random Sampling"
-
serpentine sorting
- SURVEYSELECT procedure "PROC SURVEYSELECT Statement"
- SURVEYSELECT procedure "Sorting by CONTROL Variables"
-
SFACTOR= option
- PRIOR statement (MIXED)
-
SHAPE= option
- PROC MDS statement
-
SHAPE1= option
- MODEL statement (LIFEREG)
-
Shewhart control charts
-
SHORT option
- MODEL statement (TRANSREG)
- PROC ACECLUS statement
- PROC CALIS statement
- PROC CANCORR statement
- PROC CANDISC statement
- PROC CORRESP statement
- PROC DISCRIM statement
- PROC FASTCLUS statement
- PROC MODECLUS statement
- PROC STEPDISC statement
- PROC VARCLUS statement
-
Sidak (MULTTEST)
- p-value adjustments "Example 43.3: Peto Test"
- p-value adjustments "p-Value Adjustments"
- p-value adjustments "PROC MULTTEST Statement"
-
SIDAK option
- MEANS statement (ANOVA)
- MEANS statement (GLM)
- PROC MULTTEST statement "Example 43.3: Peto Test"
- PROC MULTTEST statement "p-Value Adjustments"
- PROC MULTTEST statement "PROC MULTTEST Statement"
-
Sidak's adjustment
- GLM procedure
- MIXED procedure
- MULTTEST procedure "Example 43.3: Peto Test"
- MULTTEST procedure "p-Value Adjustments"
- MULTTEST procedure "PROC MULTTEST Statement"
-
Sidak's inequality
-
Sidak's t test
-
Siegel-Tukey scores
- NPAR1WAY procedure
-
SIGITER option
- PROC MIXED statement
-
SIGMA= option
- MODEL statement (REG)
-
significance level
- CALIS procedure
- entry (PHREG)
- hazards ratio confidence interval (PHREG)
- removal (PHREG) "Example 49.1: Stepwise Regression"
- removal (PHREG) "MODEL Statement"
-
significance tests
- MODECLUS procedure "Example 42.3: Cluster Analysis with Significance Tests"
- MODECLUS procedure "Significance Tests"
-
SIGSQ= option
- PROC NLIN statement
-
sill
- KRIGE2D procedure
-
SIM2D procedure
- Cholesky root
- computational details
- conditional and unconditional simulation
- conditional distributions of multivariate normal random variables
- examples "Example 58.1: Simulation"
- examples "Preliminary Spatial Data Analysis"
- Gaussian assumption
- Gaussian random field
- LU decomposition
- memory usage
- output data sets "Output Data Set"
- output data sets "Output Data Set"
- output data sets "Output Data Set"
- output data sets "Output Data Set"
- output data sets "PROC SIM2D Statement"
- OUTSIM= data set "Output Data Set"
- OUTSIM= data set "Output Data Set"
- OUTSIM= data set "Output Data Set"
- OUTSIM= data set "Output Data Set"
- quadratic form
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
- simulation of spatial random fields "Computational and Theoretical Details of Spatial Simulation"
-
SIM2D procedure, COORDINATES statement
- XCOORD= option
- YCOORD= option
-
SIM2D procedure, GRID statement
- GRIDDATA= option
- X= option
- XCCORD= option
- Y= option
- YCOORD= option
-
SIM2D procedure, MEAN statement
-
SIM2D procedure, PROC SIM2D statement
- DATA= option
- NARROW option
- OUTSIM= option
-
SIM2D procedure, SIMULATE statement
- ANGLE= option
- FORM= option
- MDATA= option
- NUGGET= option
- NUMREAL= option
- RANGE= option
- RATIO= option
- SCALE= option
- SEED= option
- SINGULAR= option
- VAR= option
-
SIMILAR option
- PROC TREE statement
-
SIMILAR= option
- PROC MDS statement
-
similarity data
- MDS procedure "Overview"
- MDS procedure "PROC MDS Statement"
- MDS procedure "PROC MDS Statement"
-
simple cluster-seeking algorithm
-
simple effects
- GLM procedure "LSMEANS Statement"
- GLM procedure "Simple Effects"
- MIXED procedure
-
simple kappa coefficient
-
SIMPLE option
- PROC CALIS statement
- PROC CANCORR statement
- PROC CANDISC statement
- PROC CLUSTER statement
- PROC DISCRIM statement
- PROC FACTOR statement
- PROC LOGISTIC statement
- PROC MODECLUS statement
- PROC PHREG statement
- PROC REG statement
- PROC STEPDISC statement
- PROC VARCLUS statement
-
simple random cluster sampling
- SURVEYREG procedure
-
simple random sampling
- SURVEYMEANS procedure
- SURVEYREG procedure "Examples"
- SURVEYREG procedure "Simple Random Sampling"
- SURVEYSELECT procedure "PROC SURVEYSELECT Statement"
- SURVEYSELECT procedure "Simple Random Sampling"
- SURVEYSELECT procedure "Simple Random Sampling"
-
SIMPLS method
- PLS procedure
-
SIMULATE statement (SIM2D)
-
simulation of spatial random fields
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
- SIM2D procedure "Computational and Theoretical Details of Spatial Simulation"
-
simulation-based adjustment
- GLM procedure
- MIXED procedure
-
SING= option
- PROC CANCORR statement
- PROC PRINCOMP statement
-
SINGCHOL= option
- MODEL statement (MIXED)
- PROC NLMIXED statement
-
SINGHESS= option
- PROC NLMIXED statement
-
single linkage
- CLUSTER procedure "Clustering Methods"
- CLUSTER procedure "PROC CLUSTER Statement"
-
SINGRES= option
- MODEL statement (MIXED)
-
SINGSWEEP= option
- PROC NLMIXED statement
-
SINGULAR option
- CONTRAST statement (GLM)
- LSMEANS statement (GLM)
-
SINGULAR= option
- CONTRAST statement (GENMOD)
- CONTRAST statement (LOGISTIC)
- CONTRAST statement (MIXED)
- CONTRAST statement (SURVEYREG)
- ESTIMATE statement (GLM)
- ESTIMATE statement (MIXED)
- ESTIMATE statement (SURVEYREG)
- LSMEANS statement (MIXED)
- MODEL statement (GENMOD)
- MODEL statement (GLM)
- MODEL statement (KRIGE2D)
- MODEL statement (LIFEREG)
- MODEL statement (LOGISTIC)
- MODEL statement (MIXED)
- MODEL statement (PHREG)
- MODEL statement (REG)
- MODEL statement (TRANSREG)
- NLOPTIONS statement (CALIS)
- PROC ACECLUS statement
- PROC CALIS statement
- PROC CANCORR statement
- PROC CANDISC statement
- PROC CORRESP statement
- PROC DISCRIM statement
- PROC FACTOR statement
- PROC LIFETEST statement
- PROC MDS statement
- PROC NLIN statement
- PROC ORTHOREG statement
- PROC PRINCOMP statement
- PROC PRINQUAL statement
- PROC REG statement
- PROC STEPDISC statement
- SIMULATE statement (SIM2D)
-
singularities
- MIXED procedure
- REG procedure
-
singularity checking
- CANCORR procedure
- GLM procedure "CONTRAST Statement"
- GLM procedure "ESTIMATE Statement"
- GLM procedure "LSMEANS Statement"
- GLM procedure "MODEL Statement"
-
singularity criterion
- CALIS procedure
- contrast matrix (GENMOD)
- contrast matrix (LOGISTIC)
- covariance matrix (CALIS) "PROC CALIS Statement"
- covariance matrix (CALIS) "PROC CALIS Statement"
- covariance matrix (CALIS) "PROC CALIS Statement"
- information matrix (GENMOD)
- PHREG procedure
- TRANSREG procedure
-
singularity level
- SURVEYREG procedure "CONTRAST Statement"
- SURVEYREG procedure "ESTIMATE Statement"
-
singularity tolerances
- NLMIXED procedure
-
SINGULARMSG= option
- PROC KRIGE2D statement
-
SINGVAR option
- PROC NLMIXED statement
-
SIZE statement
- SURVEYSELECT procedure
-
skewness
- CALIS procedure
- displayed in CLUSTER procedure
-
SKIPHLABELS= option
- PLOT statement (BOXPLOT)
-
SLENTRY= option
- MODEL statement (LOGISTIC)
- MODEL statement (PHREG)
- MODEL statement (REG)
- PROC STEPDISC statement
-
SLICE= option
- LSMEANS statement (GLM)
- LSMEANS statement (MIXED)
-
SLMW= option
- PROC CALIS statement
-
SLPOOL= option
- PROC DISCRIM statement
-
SLSTAY= option
- MODEL statement (LOGISTIC)
- MODEL statement (PHREG)
- MODEL statement (REG)
- PROC STEPDISC statement
-
SM= option
- MODEL statement (TRANSREG)
- TRANSFORM statement
-
SMC option
- PROC CANCORR statement
-
SMDCR option
- OUTPUT statement (FREQ)
- TEST statement (FREQ) "Example 28.7: Computing the Cochran-Armitage Trend Test"
- TEST statement (FREQ) "TEST Statement"
-
SMDRC option
- OUTPUT statement (FREQ)
- TEST statement (FREQ)
-
SMETHOD= option
- PROC CALIS statement
- PROC NLIN statement
-
SMM multiple-comparison method
-
SMM option
- MEANS statement (ANOVA)
- MEANS statement (GLM)
-
SMOOTH= option
- MODEL statement(LOESS)
-
SMOOTH transformation
- MODEL statement (TRANSREG)
-
smoothing parameter
- cluster analysis
- MODECLUS procedure
- optimal (DISCRIM)
-
smoothing spline transformation
- PRINQUAL procedure
- TRANSREG procedure "MODEL Statement"
- TRANSREG procedure "Smoothing Splines"
-
SNK option
- MEANS statement (ANOVA)
- MEANS statement (GLM)
-
SNORM option
- PROC STDIZE statement
-
SOLUTION option
- MODEL statement (GLM)
- MODEL statement (MIXED) "MODEL Statement"
- MODEL statement (MIXED) "Parameterization of Mixed Models"
- MODEL statement (PLS)
- MODEL statement (SURVEYREG)
- RANDOM statement (MIXED)
-
Somers' D statistics
-
SORT option
- PROC TREE statement
-
SORT= option
- PROC SURVEYSELECT statement
-
SORTED option
- REPEATED statement (GENMOD)
-
SOURCE option
- PROC CORRESP statement
-
SP option
- MODEL statement (REG)
- PLOT statement (REG)
-
SPACES= option
- PROC TREE statement
-
spacing
- STDIZE procedure
-
SPARSE option
- TABLES statement (FREQ) "Example 28.1: Creating an Output Data Set with Table Cell Frequencies"
- TABLES statement (FREQ) "TABLES Statement"
-
spatial anisotropic exponential structure
- MIXED procedure
-
spatial covariance structures
- examples (MIXED)
- MIXED procedure "Computational Issues"
- MIXED procedure "REPEATED Statement"
- MIXED procedure "REPEATED Statement"
-
spatial prediction
- VARIOGRAM procedure "Getting Started"
- VARIOGRAM procedure "Introduction to Spatial Prediction"
-
SPCORR option
- PROC CANCORR statement
-
Spearman rank correlation coefficient
-
SPEC option
- MODEL statement (REG)
-
specificity
- CATMOD procedure
-
spherical semivariogram model
- KRIGE2D procedure "Theoretical Semivariogram Models"
- KRIGE2D procedure "Theoretical Semivariogram Models"
-
sphericity tests
-
spline t-options
- PRINQUAL procedure
- TRANSREG procedure
-
SPLINE transformation
- MODEL statement (TRANSREG)
- TRANSFORM statement (PRINQUAL)
- PRINQUAL procedure
- TRANSREG procedure "MODEL Statement"
- TRANSREG procedure "SPLINE and MSPLINE Transformations"
-
splines
- Bayesian confidence intervals
- goodness of fit
- regression model "Computational Formulas"
- regression model "Example 64.2: Spline Model With Higher-Order Penalty"
- regression model "Overview"
- thin-plate smoothing
- TPSPLINE procedure
- TRANSREG procedure "Example 65.1: Using Splines and Knots"
- TRANSREG procedure "Example 65.4: Transformation Regression of Exhaust Emissions Data"
- TRANSREG procedure "MODEL Statement"
- TRANSREG procedure "MODEL Statement"
- TRANSREG procedure "Solving Standard Least-Squares Problems"
- TRANSREG procedure "SPLINE, BSPLINE, and PSPLINE Comparisons"
-
split-plot design
- ANOVA procedure "Example 17.3: Split Plot"
- ANOVA procedure "Example 17.4: Latin Square Split Plot"
- ANOVA procedure "Example 17.5: Strip-Split Plot"
- ANOVA procedure "TEST Statement"
- generating with PLAN procedure
- MIXED procedure "Example 41.1: Split-Plot Design"
- MIXED procedure "Mixed Models Theory"
-
SPRECISION= option
- PROC CALIS statement
-
SQPCORR option
- PROC CANCORR statement
-
SQSPCORR option
- PROC CANCORR statement
-
square root difference cloud
- VARIOGRAM procedure
-
squared multiple correlation
- CALIS procedure "Assessment of Fit"
- CALIS procedure "Displayed Output"
- CANCORR procedure
-
squared partial correlation
- CANCORR procedure
-
squared semipartial correlation
- CANCORR procedure
- formula (CLUSTER)
-
SS1 option
- MODEL statement (GLM)
- MODEL statement (REG)
-
SS2 option
- MODEL statement (GLM)
- MODEL statement (REG)
- MODEL statement (TRANSREG)
-
SS3 option
- MODEL statement (GLM)
-
SS4 option
- MODEL statement (GLM)
-
SSCP matrix
- displaying, for multivariate tests "MANOVA Statement"
- displaying, for multivariate tests "MANOVA Statement"
- for multivariate tests (GLM) "MANOVA Statement"
- for multivariate tests (GLM) "MANOVA Statement"
- for multivariate tests (GLM) "MANOVA Statement"
-
SSCP option
- REPEATED statement (MIXED)
-
SSE option
- MODEL statement (REG)
- PLOT statement (REG)
-
SSE= option
- OUTPUT statement (NLIN)
-
SSPLINE transformation
- MODEL statement (TRANSREG)
- TRANSFORM statement (PRINQUAL)
-
ST option
- EXACT statement (NPAR1WAY)
- OUTPUT statement (NPAR1WAY)
- PROC NPAR1WAY statement
-
standard deviation
- CLUSTER procedure
- SURVEYMEANS procedure
-
standard error
- PHREG procedure "BASELINE Statement"
- PHREG procedure "Displayed Output"
- PHREG procedure "OUTPUT Statement"
- PHREG procedure "OUTPUT Statement"
- SURVEYMEANS procedure
-
standard linear model
- MIXED procedure
-
STANDARD option
- PROC CLUSTER statement
- PROC MODECLUS statement
- PROC PRINCOMP statement
- PROC PRINQUAL statement
-
STANDARD procedure
- standardized values
-
standardizing
- cluster analysis (STDIZE)
- CLUSTER procedure
- MODECLUS procedure
- raw data (SCORE)
- redundancy variables (TRANSREG)
- values (STANDARD)
- values (STDIZE)
-
star (*) operator
- TRANSREG procedure
-
START option
- PROC NLMIXED statement
-
START= option
- MODEL statement (LOGISTIC)
- MODEL statement (PHREG)
- MODEL statement (REG)
- PROC CALIS statement
- PROC STEPDISC statement
-
STAT= option
- PROC PLS statement
-
STATFONT option
- PLOT statement (REG)
-
STATHT option
- PLOT statement (REG)
-
stationary point
- NLMIXED procedure
-
statistic-keywords
- SURVEYMEANS procedure
-
statistical
- assumptions (GLM)
- computation (SURVEYMEANS)
- quality control
- tests (MULTTEST)
-
STATS option
- PROC SURVEYSELECT statement
-
STATUS option
- PAINT statement (REG)
- REWEIGHT statement (REG)
-
STB option
- MODEL statement (REG)
- PROC CANCORR statement
-
STB= option
- MODEL statement (LOGISTIC)
-
STD option
- MODEL statement(LOESS)
- PROC PRINCOMP statement
-
STD option (MODECLUS)
-
STD statement, CALIS procedure
-
STDERR option
- LSMEANS statement (GLM)
- PROC CALIS statement
-
STDI keyword
- OUTPUT statement (GLM)
-
STDI= option
- OUTPUT statement (NLIN)
-
STDIZE procedure
- AGK estimate
- analyzing data in groups
- Andrew's wave estimate
- breakdown point and efficiency
- comparisons of quantile computation, PCTLMTD option
- computational methods, PCTLDEF option
- Euclidean length
- examples "Example 59.1: Standardization of Variables in Cluster Analysis"
- examples "Getting Started"
- final output value
- formulas for statistics
- fuzz factor
- Huber's estimate
- initial estimates for A estimates
- input data set (METHOD=IN())
- methods resistant to clustering
- methods resistant to outliers "Getting Started"
- methods resistant to outliers "Standardization Methods"
- Minkowski metric
- missing values "Missing Values"
- missing values "PROC STDIZE Statement"
- missing values "PROC STDIZE Statement"
- missing values "PROC STDIZE Statement"
- missing values "PROC STDIZE Statement"
- normalization "PROC STDIZE Statement"
- normalization "PROC STDIZE Statement"
- one-pass quantile computations
- OUT= data set "Output Data Sets"
- OUT= data set "PROC STDIZE Statement"
- output data sets "Output Data Sets"
- output data sets "PROC STDIZE Statement"
- output data sets "PROC STDIZE Statement"
- output table names
- OUTSTAT= data set
- quantile computation "Computing Quantiles"
- quantile computation "Overview"
- robust estimators
- spacing
- standardization methods "Overview"
- standardization methods "Standardization Methods"
- standardization with weights
- Tukey's biweight estimate "Computation of the Statistics"
- Tukey's biweight estimate "Getting Started"
- tuning constant "Getting Started"
- tuning constant "Standardization Methods"
- unstandardization
- weights
-
STDIZE procedure, BY statement
-
STDIZE procedure, FREQ statement
-
STDIZE procedure, LOCATION statement
-
STDIZE procedure, PROC STDIZE statement
- ADD= option
- DATA= option
- FUZZ= option
- INITIAL= option
- METHOD= option
- MISSING= option
- MULT= option
- NMARKERS= option
- NOMISS option
- NORM option
- OUT= option
- OUTSTAT= option
- PCTLDEF= option
- PCTLMTD option
- PCTLPTS option
- PSTAT option
- REPLACE option
- REPONLY option
- SNORM option
- UNSTD option
- VARDEF option
-
STDIZE procedure, SCALE statement
-
STDIZE procedure, VAR statement
-
STDIZE procedure, WGT statement
-
STDMEAN option
- PROC CANDISC statement
- PROC DISCRIM statement
- PROC STEPDISC statement
-
STDP keyword
- OUTPUT statement (GLM)
-
STDP= option
- OUTPUT statement (NLIN)
-
STDR keyword
- OUTPUT statement (GLM)
-
STDR= option
- OUTPUT statement (NLIN)
-
STDXBETA= option
- OUTPUT statement (LOGISTIC)
-
STD_ERR keyword
- OUTPUT statement (LIFEREG)
-
step halving
- PHREG procedure
-
step length
- CALIS procedure
-
step length options
- NLMIXED procedure
-
STEPBON option
- PROC MULTTEST statement
-
STEPBOOT option
- PROC MULTTEST statement
-
STEPDISC procedure
- average squared canonical correlation
- computational resources
- input data sets
- introductory example
- memory requirements
- methods
- missing values
- ODS table names
- Pillai's trace
- stepwise selection
- time requirements
- tolerance
- Wilks' lambda
-
STEPDISC procedure, BY statement
-
STEPDISC procedure, CLASS statement
-
STEPDISC procedure, FREQ statement
-
STEPDISC procedure, PROC STEPDISC statement
- ALL option
- BCORR option
- BCOV option
- BSSCP option
- DATA= option
- INCLUDE= option
- MAXSTEP= option
- METHOD= option
- PCORR option
- PCOV option
- PR2ENTRY= option
- PR2STAY= option
- PSSCP option
- SHORT option
- SIMPLE option
- SINGULAR= option
- SLENTRY= option
- SLSTAY= option
- START= option
- STDMEAN option
- STOP= option
- TCORR option
- TCOV option
- TSSCP option
- WCORR option
- WCOV option
- WSSCP option
-
STEPDISC procedure, VAR statement
-
STEPDISC procedure, WEIGHT statement
-
stepdown methods
- GLM procedure
- MULTTEST procedure "Example 43.3: Peto Test"
- MULTTEST procedure "p-Value Adjustments"
-
STEPPERM option
- PROC MULTTEST statement
-
STEPSID option
- PROC MULTTEST statement "Example 43.3: Peto Test"
- PROC MULTTEST statement "PROC MULTTEST Statement"
-
stepwise discriminant analysis
-
stepwise selection
- LOGISTIC procedure "Effect Selection Methods"
- LOGISTIC procedure "Example 39.1: Stepwise Logistic Regression and Predicted Values"
- LOGISTIC procedure "MODEL Statement"
- PHREG procedure "Example 49.1: Stepwise Regression"
- PHREG procedure "MODEL Statement"
- PHREG procedure "Variable Selection Methods"
- REG procedure "Model-Selection Methods"
- REG procedure "Overview"
- STEPDISC procedure
-
STOP= option
- MODEL statement (LOGISTIC)
- MODEL statement (PHREG)
- MODEL statement (REG)
- PROC STEPDISC statement
-
STOPRES option
- MODEL statement (LOGISTIC)
- MODEL statement (PHREG)
-
stored data algorithm
-
stored distance algorithms
-
strata
- SURVEYMEANS procedure
- SURVEYREG procedure
-
STRATA statement
- MULTTEST procedure
- SURVEYMEANS procedure
- SURVEYREG procedure
- SURVEYSELECT procedure
-
STRATA statement, PHREG procedure
-
strata variables
- PHREG procedure
- programming statements (PHREG)
-
stratification
- SURVEYMEANS procedure "Displayed Output"
- SURVEYMEANS procedure "STRATA Statement"
- SURVEYREG procedure "Displayed Output"
- SURVEYREG procedure "STRATA Statement"
-
stratified analysis
- FREQ procedure "Overview"
- FREQ procedure "TABLES Statement"
- PHREG procedure "Overview"
- PHREG procedure "STRATA Statement"
-
stratified cluster sample
- SURVEYMEANS procedure
-
stratified sampling
- SURVEYMEANS procedure
- SURVEYREG procedure "Example 62.4: Stratified Sampling"
- SURVEYREG procedure "Stratified Sampling"
- SURVEYSELECT procedure "STRATA Statement"
- SURVEYSELECT procedure "Stratified Sampling"
-
stratified table
- example
-
stratum collapse
- SURVEYREG procedure "Example 62.6: Stratum Collapse"
- SURVEYREG procedure "Stratum Collapse"
-
stress formula
- MDS procedure "Formulas"
- MDS procedure "PROC MDS Statement"
- MDS procedure "PROC MDS Statement"
-
STRICT= option
- PROC FASTCLUS statement
-
strip-split-plot design
- ANOVA procedure
-
STRUCTEQ statement, CALIS procedure
-
structural equation (CALIS)
- definition "Assessment of Fit"
- definition "PROC CALIS Statement"
- definition "STRUCTEQ Statement"
- dependent variables
- models
-
structural model example (CALIS)
- COSAN model
- factor analysis model
- LINEQS model "Getting Started"
- LINEQS model "Structural Equation Models"
- LISREL model
- path diagram "RAM Model Statement"
- path diagram "Structural Equation Models"
- RAM model "Getting Started"
- RAM model "Structural Equation Models"
-
Stuart's tau-c statistic
-
STUDENT keyword
- OUTPUT statement (GLM)
-
STUDENT= option
- OUTPUT statement (NLIN)
-
Student's multiple range test
-
Studentized maximum modulus
- pairwise comparisons "MEANS Statement"
- pairwise comparisons "Multiple Comparisons"
-
studentized residual
-
STUTC option
- OUTPUT statement (FREQ)
- TEST statement (FREQ)
-
SUBCLUSTER= option
- REPEATED statement (GENMOD)
-
subject effect
- MIXED procedure "Computational Issues"
- MIXED procedure "CONTRAST Statement"
- MIXED procedure "Example 41.1: Split-Plot Design"
- MIXED procedure "RANDOM Statement"
- MIXED procedure "REPEATED Statement"
-
SUBJECT option
- CONTRAST statement (MIXED)
- ESTIMATE statement (MIXED)
-
SUBJECT= option
- RANDOM statement (MIXED) "CONTRAST Statement"
- RANDOM statement (MIXED) "RANDOM Statement"
- REPEATED statement (GENMOD)
- REPEATED statement (MIXED)
-
subject weights
- MDS procedure "Overview"
- MDS procedure "PROC MDS Statement"
-
subpopulation
- GENMOD procedure
- LOGISTIC procedure "MODEL Statement"
- LOGISTIC procedure "MODEL Statement"
- LOGISTIC procedure "Overdispersion"
-
SUM option
- PROC MODECLUS statement
-
sum-to-zero assumptions
-
summary of commands
- MIXED procedure
-
SUMMARY option
- MANOVA statement (ANOVA)
- MANOVA statement (GLM)
- PROC CALIS statement
- PROC FASTCLUS statement
- PROC VARCLUS statement
- REPEATED statement (ANOVA)
- REPEATED statement (GLM)
-
summary statistics
- REG procedure
-
sums of squares
- GLM procedure "MODEL Statement"
- GLM procedure "MODEL Statement"
- GLM procedure "MODEL Statement"
- GLM procedure "MODEL Statement"
- Type II (GLM)
- Type II (TRANSREG)
-
suppressing output
- CANCORR procedure
- GENMOD procedure
- LIFETEST procedure
-
surface trend
- VARIOGRAM procedure
-
survey data analysis
-
survey sampling
- cluster sampling
- descriptive statistics
- finite population correction factor
- first-stage sampling unit
- fpc
- multistage sampling
- population
- population total
- PPS
- primary sampling units (PSUs)
- regression analysis
- sample selection
- sampling fraction
- sampling frame
- sampling rate
- sampling unit
- sampling weight
- stratified sampling
- survey weight
- SURVEYMEANS procedure
- SURVEYREG procedure
- SURVEYSELECT procedure
- variance estimation
-
survey weight
-
SURVEYMEANS procedure
- categorical variable "CLASS Statement"
- categorical variable "Statistical Computation"
- categorical variable "Statistical Computation"
- class level
- cluster
- coefficient of variation
- confidence level
- confidence limits "Statistical Computation"
- confidence limits "Statistical Computation"
- data summary
- degrees of freedom
- descriptive statistics
- estimated frequency
- estimated total
- first-stage sampling rate
- indicator variable
- mean per element
- means
- missing values "Missing Values"
- missing values "PROC SURVEYMEANS Statement"
- ODS table names
- output data sets "Create Output Data Set"
- output data sets "Output Data Sets"
- output table names
- population total "PROC SURVEYMEANS Statement"
- population total "Specification of Population Totals and Sampling Rates"
- primary sampling units (PSUs)
- proportion estimation
- sampling rate "PROC SURVEYMEANS Statement"
- sampling rate "Specification of Population Totals and Sampling Rates"
- simple random sampling
- standard deviation of the total
- standard error of the mean
- statistic-keywords
- statistical computation
- strata
- stratification "Displayed Output"
- stratification "STRATA Statement"
- stratified cluster sample
- stratified sampling
- t test
- unequal weighting
- valid observation
- variance of the mean
- variance of the total
-
SURVEYMEANS procedure, BY statement
-
SURVEYMEANS procedure, CLASS statement
-
SURVEYMEANS procedure, CLUSTER statement
-
SURVEYMEANS procedure, PROC SURVEYMEANS statement
- ALPHA= option
- DATA= option
- MISSING option
- N= option
- ORDER= option
- R= option
- RATE= option
- TOTAL= option
-
SURVEYMEANS procedure, STRATA statement
- LIST option
-
SURVEYMEANS procedure, VAR statement
-
SURVEYMEANS procedure, WEIGHT statement
-
SURVEYREG procedure
- analysis of contrasts
- analysis of variance
- ANOVA
- classification level
- classification variables
- cluster
- coefficients of contrast
- coefficients of estimate
- computational details
- confidence level
- confidence limits
- contrasts "Computational Method"
- contrasts "CONTRAST Statement"
- data summary
- degrees of freedom
- design effect
- design summary
- domain analysis
- effect testing "Computational Method"
- effect testing "Displayed Output"
- estimable functions "Displayed Output"
- estimable functions "ESTIMATE Statement"
- first-stage sampling rate
- inverse matrix of X'X
- missing values
- MSE
- multiple R-squared
- output data set "Create Output Data Set"
- output data set "Output Data Sets"
- output table names
- pooled stratum
- population total "PROC SURVEYREG Statement"
- population total "Specification of Population Totals and Sampling Rates"
- primary sampling units (PSUs)
- regression coefficients "Computational Method"
- regression coefficients "Displayed Output"
- regression estimator "Example 62.3: Regresson Estimator for Simple Random Sample"
- regression estimator "Example 62.5: Regression Estimator for Stratified Sample"
- Root MSE
- sampling rate "PROC SURVEYREG Statement"
- sampling rate "Specification of Population Totals and Sampling Rates"
- simple random cluster sampling
- simple random sampling "Examples"
- simple random sampling "Simple Random Sampling"
- singularity level "CONTRAST Statement"
- singularity level "ESTIMATE Statement"
- strata
- stratification "Displayed Output"
- stratification "STRATA Statement"
- stratified sampling "Example 62.4: Stratified Sampling"
- stratified sampling "Stratified Sampling"
- stratum collapse "Example 62.6: Stratum Collapse"
- stratum collapse "Stratum Collapse"
- subpopulation analysis
- variance estimation
- Wald test "Computational Method"
- Wald test "Computational Method"
- X'X matrix
-
SURVEYREG procedure, BY statement
-
SURVEYREG procedure, CLASS statement
-
SURVEYREG procedure, CLUSTER statement
-
SURVEYREG procedure, CONTRAST statement
- E option
- NOFILL option
- SINGULAR= option
-
SURVEYREG procedure, ESTIMATE statement
- DIVISOR= option
- E option
- NOFILL option
- SINGULAR= option
-
SURVEYREG procedure, MODEL statement
- CLPARM option
- COVB option
- DEFF option
- DF= option
- INVERSE option
- NOINT option
- SOLUTION option
- XPX option
-
SURVEYREG procedure, PROC SURVEYREG statement
- ALPHA= option
- DATA= option
- N= option
- NOPRINT option
- R= option
- RATE= option
- TOTAL= option
-
SURVEYREG procedure, STRATA statement
- LIST option
- NOCOLLAPSE option
-
SURVEYREG procedure, WEIGHT statement
-
SURVEYSELECT procedure
- Brewer's method "Brewer's PPS Method"
- Brewer's method "PROC SURVEYSELECT Statement"
- certainty size measure
- Chromy's method "PPS Sequential Sampling"
- Chromy's method "PROC SURVEYSELECT Statement"
- Chromy's method "PROC SURVEYSELECT Statement"
- Chromy's method "Sequential Random Sampling"
- control sorting "CONTROL Statement"
- control sorting "PROC SURVEYSELECT Statement"
- control sorting "Sorting by CONTROL Variables"
- dollar-unit sampling
- initial seed
- introductory example
- joint selection probabilities
- maximum size measure
- minimum size measure
- missing values
- Murthy's method "Murthy's PPS Method"
- Murthy's method "PROC SURVEYSELECT Statement"
- output data sets "Output Data Set"
- output data sets "PROC SURVEYSELECT Statement"
- output table names
- PPS sampling "Example 63.2: PPS Selection of Two Units Per Stratum"
- PPS sampling "PPS Sampling with Replacement"
- PPS sampling "PPS Sampling without Replacement"
- PPS sampling "PPS Sequential Sampling"
- PPS sampling "PPS Systematic Sampling"
- PPS sampling "PROC SURVEYSELECT Statement"
- PPS sampling "PROC SURVEYSELECT Statement"
- PPS sampling "PROC SURVEYSELECT Statement"
- PPS sampling "PROC SURVEYSELECT Statement"
- replicated sampling "Example 63.1: Replicated Sampling"
- replicated sampling "PROC SURVEYSELECT Statement"
- Sampford's method "PROC SURVEYSELECT Statement"
- Sampford's method "Sampford's PPS Method"
- sample selection methods
- sample size
- sampling rate
- sequential random sampling "PROC SURVEYSELECT Statement"
- sequential random sampling "Sequential Random Sampling"
- serpentine sorting "PROC SURVEYSELECT Statement"
- serpentine sorting "Sorting by CONTROL Variables"
- simple random sampling "PROC SURVEYSELECT Statement"
- simple random sampling "Simple Random Sampling"
- simple random sampling "Simple Random Sampling"
- stratified sampling "STRATA Statement"
- stratified sampling "Stratified Sampling"
- systematic random sampling "PROC SURVEYSELECT Statement"
- systematic random sampling "Systematic Random Sampling"
- unrestricted random sampling "PROC SURVEYSELECT Statement"
- unrestricted random sampling "Unrestricted Random Sampling"
-
SURVEYSELECT procedure, CONTROL statement
-
SURVEYSELECT procedure, ID statement
-
SURVEYSELECT procedure, PROC SURVEYSELECT statement
- CERTSIZE option
- CERTSIZE= option "PROC SURVEYSELECT Statement"
- CERTSIZE= option "PROC SURVEYSELECT Statement"
- CERTSIZE= option "PROC SURVEYSELECT Statement"
- DATA= option
- JTPROBS option
- MAXSIZE option
- MAXSIZE= option "PROC SURVEYSELECT Statement"
- MAXSIZE= option "PROC SURVEYSELECT Statement"
- METHOD= option
- MINSIZE option
- MINSIZE= option "PROC SURVEYSELECT Statement"
- MINSIZE= option "PROC SURVEYSELECT Statement"
- NMAX= option
- NMIN= option
- NOPRINT option
- OUT= option
- OUTHITS option
- OUTSIZE option
- OUTSORT= option
- REP= option
- SAMPRATE= option "PROC SURVEYSELECT Statement"
- SAMPRATE= option "PROC SURVEYSELECT Statement"
- SAMPRATE= option "PROC SURVEYSELECT Statement"
- SAMPSIZE= option "PROC SURVEYSELECT Statement"
- SAMPSIZE= option "PROC SURVEYSELECT Statement"
- SAMPSIZE= option "PROC SURVEYSELECT Statement"
- SEED= option
- SORT= option
- STATS option
-
SURVEYSELECT procedure, SIZE statement
-
SURVEYSELECT procedure, STRATA statement
-
survival analysis
- LIFETEST procedure
-
survival curves, comparing
-
survival data
-
survival distribution function
- LIFEREG procedure "Computational Formulas"
- LIFEREG procedure "Model Specifications"
- LIFEREG procedure "Output Data Sets"
- LIFEREG procedure "Overview"
- LIFEREG procedure "Overview"
- LIFEREG procedure "Supported Distributions"
- LIFETEST procedure
- PHREG procedure
-
survival estimates
- confidence limits (LIFETEST)
-
survival models, nonparametric
- LIFETEST procedure
-
survival models, parametric
-
survival times
- PHREG procedure "Example 49.3: Conditional Logistic Regression for m:n Matching"
- PHREG procedure "Overview"
- PHREG procedure "Overview"
-
survivor function
- definition (PHREG)
- estimates (LOGISTIC)
- estimates (PHREG) "BASELINE Statement"
- estimates (PHREG) "Example 49.6: Survivor Function Estimates for Specific Covariate Values"
- estimates (PHREG) "Example 49.6: Survivor Function Estimates for Specific Covariate Values"
- estimates (PHREG) "OUTPUT Statement"
- estimates (PHREG) "Survival Distribution Estimates for the Cox Model"
- LIFETEST procedure
- PHREG procedure "Failure Time Distribution"
- PHREG procedure "OUTPUT Statement"
- PHREG procedure "Overview"
- PHREG procedure "Overview"
-
sweep algorithm
- REG procedure
-
SYMBOL= option
- PAINT statement (REG)
- PLOT statement (REG)
-
SYMBOLLEGEND= option
- PLOT statement (BOXPLOT)
-
SYMBOLORDER= option
- PLOT statement (BOXPLOT)
-
symmetric and positive definite (SIM2D)
- covariance matrix
-
systematic random sampling
- SURVEYSELECT procedure "PROC SURVEYSELECT Statement"
- SURVEYSELECT procedure "Systematic Random Sampling"
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