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D
-
D option
- MODEL statement (RSREG)
-
DAMPSTEP option
- PROC NLMIXED statement
-
DAMPSTEP= option
- NLOPTIONS statement (CALIS)
-
DAPPROXIMATIONS option
- OUTPUT statement (TRANSREG)
-
DATA= option
- PARMS statement (NLMIXED)
- PRIOR statement (MIXED)
- PROC ACECLUS statement
- PROC ANOVA statement
- PROC BOXPLOT statement
- PROC CALIS statement
- PROC CANCORR statement
- PROC CANDISC statement
- PROC CATMOD statement
- PROC CLUSTER statement
- PROC CORRESP statement
- PROC DISCRIM statement
- PROC FACTOR statement
- PROC FASTCLUS statement
- PROC FREQ statement
- PROC GENMOD statement
- PROC GLM statement
- PROC GLMMOD statement
- PROC INBREED statement
- PROC KDE statement
- PROC KRIGE2D statement
- PROC LATTICE statement
- PROC LIFEREG statement
- PROC LIFETEST statement
- PROC LOGISTIC statement
- PROC MDS statement
- PROC MIXED statement
- PROC MODECLUS statement
- PROC MULTTEST statement
- PROC NESTED statement
- PROC NLIN statement
- PROC NLMIXED statement
- PROC NPAR1WAY statement
- PROC ORTHOREG statement
- PROC PHREG statement
- PROC PLS statement
- PROC PRINCOMP statement
- PROC PRINQUAL statement
- PROC PROBIT statement
- PROC REG statement
- PROC RSREG statement
- PROC SCORE statement
- PROC SIM2D statement
- PROC STDIZE statement
- PROC STEPDISC statement
- PROC SURVEYMEANS statement
- PROC SURVEYREG statement
- PROC SURVEYSELECT statement
- PROC TPSPLINE statement
- PROC TRANSREG statement
- PROC TREE statement
- PROC TTEST statement
- PROC VARCLUS statement
- PROC VARCOMP statement
- PROC VARIOGRAM statement
- SCORE statement (TPSPLINE)
-
DATA step
-
Davidon-Fletcher-Powell update
-
DDF= option
- MODEL statement (MIXED)
-
DDFM= option
- MODEL statement (MIXED)
-
DECIMALS= option
- PROC MDS statement
-
decomposition of the SSCP matrix
- ACECLUS procedure
-
DEFAULT= option
- UNITS statement (LOGISTIC)
-
DEFF option
- MODEL statement (SURVEYREG)
-
DEGREE= option
- MODEL statement (TRANSREG)
- MODEL statement(LOESS)
- TRANSFORM statement (PRINQUAL)
-
degrees of freedom
- CALIS procedure "Counting the Degrees of Freedom"
- CALIS procedure "PROC CALIS Statement"
- CALIS procedure "PROC CALIS Statement"
- CALIS procedure "PROC CALIS Statement"
- FACTOR procedure
- models with class variables (GLM)
- NLMIXED procedure
- SURVEYMEANS procedure
- SURVEYREG procedure
- TRANSREG procedure
-
DELETE= option
- PROC FASTCLUS statement
-
DELETE statement, REG procedure
-
delete variables (REG)
-
deleting observations
- REG procedure
-
DEMPHAS= option
- PROC CALIS statement
-
dendrogram
-
density estimation
- DISCRIM procedure "Example 25.1: Univariate Density Estimates and Posterior Probabilities"
- DISCRIM procedure "Example 25.2: Bivariate Density Estimates and Posterior Probabilities"
- MODECLUS procedure
-
density linkage
- CLUSTER procedure "Clustering Methods"
- CLUSTER procedure "Clustering Methods"
- CLUSTER procedure "Clustering Methods"
- CLUSTER procedure "PROC CLUSTER Statement"
- CLUSTER procedure "PROC CLUSTER Statement"
- CLUSTER procedure "PROC CLUSTER Statement"
- CLUSTER procedure "PROC CLUSTER Statement"
- CLUSTER procedure "PROC CLUSTER Statement"
- CLUSTER procedure "PROC CLUSTER Statement"
- CLUSTER procedure "PROC CLUSTER Statement"
- CLUSTER procedure "PROC CLUSTER Statement"
-
DENSITY= option
- PROC MODECLUS statement
-
dependent effect, definition
-
DEPENDENT= option
- OUTPUT statement (TRANSREG)
-
DEPONLY option
- MEANS statement (GLM)
-
DEPSILON= option
- COMPUTE statement (VARIOGRAM)
-
DER option
- PREDICT statement (NLMIXED)
-
DER statement
- NLIN procedure
-
DESCENDING option
- CLASS statement (LOGISTIC)
- PROC LOGISTIC statement
- PROC TREE statement
-
description field
- LIFETEST procedure
-
DESCRIPTION= option
- PLOT statement (BOXPLOT)
- PLOT statement (REG)
- PROC LIFETEST statement
- PROC TREE statement
-
descriptive statistics
- LOGISTIC procedure
- PHREG procedure
- SURVEYMEANS procedure
-
design effect
- SURVEYREG procedure
-
design matrix
- formulas (CATMOD)
- generation in CATMOD procedure
- GENMOD procedure
- GLMMOD procedure "Displayed Output"
- GLMMOD procedure "OUTDESIGN= Data Set"
- GLMMOD procedure "OUTDESIGN= Data Set"
- GLMMOD procedure "Overview"
- linear dependence in (GENMOD)
- TRANSREG procedure
-
DESIGN= option
- OUTPUT statement (TRANSREG)
-
design points, TPSPLINE procedure
-
design summary
- SURVEYREG procedure
-
DETAIL option
- MODEL statement (TRANSREG)
-
DETAILS option
- MODEL statement (LOGISTIC)
- MODEL statement (PHREG)
- MODEL statement (REG)
- MODEL statement(LOESS)
- MTEST statement (REG)
- PROC PLS statement
-
determination index
- CALIS procedure
-
deviance
- definition (GENMOD)
- GENMOD procedure
- LOGISTIC procedure "MODEL Statement"
- LOGISTIC procedure "MODEL Statement"
- LOGISTIC procedure "Overdispersion"
- scaled (GENMOD) "Generalized Linear Models Theory"
- scaled (GENMOD) "Generalized Linear Models Theory"
-
deviance residuals
- GENMOD procedure
- LOGISTIC procedure
- PHREG procedure "Example 49.7: Analysis of Residuals"
- PHREG procedure "OUTPUT Statement"
- PHREG procedure "Residuals"
-
DEVIANCE statement, GENMOD procedure
-
DEVIATION option
- PROC CORRESP statement
- TABLES statement (FREQ)
-
DEVIATIONS option
- MODEL statement (TRANSREG)
-
deviations-from-means coding
- TRANSREG procedure "ANOVA Codings"
- TRANSREG procedure "MODEL Statement"
- TRANSREG procedure "Model Statement Usage"
- TRANSREG procedure "Using the DESIGN Output Option"
-
DF= option
- CONTRAST statement (MIXED)
- CONTRAST statement (NLMIXED)
- ESTIMATE statement (MIXED)
- ESTIMATE statement (NLMIXED)
- LSMEANS statement (MIXED)
- MODEL statement (SURVEYREG)
- MODEL statement (TPSPLINE)
- PREDICT statement (NLMIXED)
- PROC NLMIXED statement
- RANDOM statement (NLMIXED)
-
DFBETA statistics
- LOGISTIC procedure
- PHREG procedure "Diagnostics Based on Weighted Residuals"
- PHREG procedure "OUTPUT Statement"
-
DFBETAS= option
- OUTPUT statement (LOGISTIC)
-
DFBETAS statistic (REG)
-
DFBW option
- PROC MIXED statement
-
DFE= option
- PROC CALIS statement
-
DFFITS keyword
- OUTPUT statement (GLM)
-
DFFITS statistic
- GLM procedure
- REG procedure
-
DFMETHOD= option
- MODEL statement(LOESS)
-
DFR= option
- PROC CALIS statement
-
DFREDUCE= option
- PROC CALIS statement
-
diagnostic statistics
- REG procedure
-
DIAHES option
- PROC NLMIXED statement
-
DIFCHISQ= option
- OUTPUT statement (LOGISTIC)
-
DIFDEV= option
- OUTPUT statement (LOGISTIC)
-
DIFF option
- LSMEANS statement (GENMOD)
- LSMEANS statement (MIXED)
-
difference between means
- confidence intervals
-
DIM= option
- PROC CLUSTER statement
-
DIMENS= option
- PROC CORRESP statement
-
dimension coefficients
- MDS procedure "Formulas"
- MDS procedure "OUT= Data Set"
- MDS procedure "Overview"
- MDS procedure "Overview"
- MDS procedure "PROC MDS Statement"
- MDS procedure "PROC MDS Statement"
- MDS procedure "PROC MDS Statement"
-
DIMENSION= option
- PROC MDS statement
- PROC MODECLUS statement
-
dimensions
- MIXED procedure
-
direct effects
- design matrix (CATMOD)
- specifying (CATMOD)
-
DIRECT option
- MODEL statement(LOESS)
-
direct product structure
- MIXED procedure
-
DIRECT statement, CATMOD procedure
-
DIRECTIONS statement
- VARIOGRAM procedure
-
discordant observations
-
discrete logistic model
- likelihood (PHREG)
- PHREG procedure "Example 49.3: Conditional Logistic Regression for m:n Matching"
- PHREG procedure "MODEL Statement"
- PHREG procedure "Overview"
-
DISCRIM procedure
- background
- Bayes' theorem
- bivariate density estimation
- calibration data set "Overview"
- calibration data set "Saving and Using Calibration Information"
- classification criterion
- computational resources
- %CONTOUR macro
- cross validation
- density estimate "Background"
- density estimate "Background"
- density estimate "Background"
- density estimate "Example 25.1: Univariate Density Estimates and Posterior Probabilities"
- density estimate "Example 25.2: Bivariate Density Estimates and Posterior Probabilities"
- error rate estimation "Background"
- error rate estimation "Posterior Probability Error-Rate Estimates"
- input data sets "Input Data Sets"
- input data sets "Input Data Sets"
- introductory example
- kernel density estimates "Example 25.1: Univariate Density Estimates and Posterior Probabilities"
- kernel density estimates "Example 25.2: Bivariate Density Estimates and Posterior Probabilities"
- memory requirements
- missing values
- nonparametric methods
- ODS table names
- optimal bandwidth, selection
- output data sets "Output Data Sets"
- output data sets "Output Data Sets"
- output data sets "Output Data Sets"
- output data sets "Output Data Sets"
- output data sets "Output Data Sets"
- output data sets "Output Data Sets"
- output data sets "Output Data Sets"
- parametric methods
- %PLOT macro
- %PLOTIT macro
- posterior probability "Background"
- posterior probability "Background"
- posterior probability "Example 25.1: Univariate Density Estimates and Posterior Probabilities"
- posterior probability "Example 25.2: Bivariate Density Estimates and Posterior Probabilities"
- posterior probability error rate "Background"
- posterior probability error rate "Posterior Probability Error-Rate Estimates"
- quasi-inverse
- resubstitution
- squared distance "Background"
- squared distance "Background"
- test set classification
- time requirements
- training data set
- univariate density estimation
-
DISCRIM procedure, BY statement
-
DISCRIM procedure, CLASS statement
-
DISCRIM procedure, FREQ statement
-
DISCRIM procedure, ID statement
-
DISCRIM procedure, PRIORS statement
-
DISCRIM procedure, PROC DISCRIM statement
- ALL option
- ANOVA option
- BCORR option
- BCOV option
- BSSCP option
- CAN option
- CANONICAL option
- CANPREFIX= option
- CROSSLIST option
- CROSSLISTERR option
- CROSSVALIDATE option
- DATA= option
- DISTANCE option
- K= option
- KERNEL= option
- LIST option
- LISTERR option
- MAHALANOBIS option
- MANOVA option
- METHOD= option
- METRIC= option
- NCAN= option
- NOCLASSIFY option
- NOPRINT option
- OUT= option
- OUTCROSS= option
- OUTD= option
- OUTSTAT= option
- PCORR option
- PCOV option
- POOL= option
- POSTERR option
- PSSCP option
- R= option
- SHORT option
- SIMPLE option
- SINGULAR= option
- SLPOOL= option
- STDMEAN option
- TCORR option
- TCOV option
- TESTDATA= option
- TESTLIST option
- TESTLISTERR option
- TESTOUT= option
- TESTOUTD= option
- THRESHOLD= option
- TSSCP option
- WCORR option
- WCOV option
- WSSCP option
-
DISCRIM procedure, TESTCLASS statement
-
DISCRIM procedure, TESTFREQ statement
-
DISCRIM procedure, TESTID statement
-
DISCRIM procedure, VAR statement
-
DISCRIM procedure, WEIGHT statement
-
discriminant analysis
- canonical "Overview"
- canonical "Overview"
- error rate estimation
- misclassification probabilities
- nonparametric methods
- parametric methods
- stepwise selection
-
discriminant functions
-
disjoint clustering
-
dispersion parameter
- estimation (GENMOD) "Generalized Linear Models Theory"
- estimation (GENMOD) "The GENMOD Procedure"
- estimation (GENMOD) "Type 1 Analysis"
- estimation (GENMOD) "Type 3 Analysis"
- GENMOD procedure
- LOGISTIC procedure
- weights (GENMOD)
-
DISSIMILAR option
- PROC TREE statement
-
dissimilarity data
- MDS procedure "Overview"
- MDS procedure "PROC MDS Statement"
- MDS procedure "PROC MDS Statement"
-
DIST= option
- MODEL statement (GENMOD)
-
distance
- between clusters (FASTCLUS)
- classification (VARIOGRAM) "Theoretical and Computational Details of the Semivariogram"
- classification (VARIOGRAM) "Theoretical and Computational Details of the Semivariogram"
- data (FASTCLUS)
- data (MDS)
- Euclidean (FASTCLUS)
-
distance data
- MDS procedure
-
DISTANCE data sets
- CLUSTER procedure
-
DISTANCE option
- PROC CANDISC statement
- PROC DISCRIM statement
- PROC FASTCLUS statement
-
DISTANCE= option
- MODEL statement (TPSPLINE)
-
distance tolerance
- VARIOGRAM procedure
-
DISTRIBUTION= option
- MODEL statement (LIFEREG)
-
distributions
- exponential
- Gompertz
- logistic
- normal
- Weibull
-
DIVISOR= option
- ESTIMATE statement (GLM)
- ESTIMATE statement (MIXED)
- ESTIMATE statement (SURVEYREG)
-
DK= option
- PROC MODECLUS statement
-
DOCK= option
- PROC MODECLUS statement
- PROC TREE statement
-
dollar-unit sampling
- SURVEYSELECT procedure
-
domain analysis
- SURVEYREG procedure
-
DOT product (SCORE)
-
double arcsine test
- MULTTEST procedure
-
double dogleg
- algorithm (CALIS) "PROC CALIS Statement"
- algorithm (CALIS) "PROC CALIS Statement"
- algorithm (CALIS) "Use of Optimization Techniques"
- method (NLMIXED)
-
DR= option
- PROC MODECLUS statement
-
DREPLACE option
- OUTPUT statement (TRANSREG)
-
DRIFT option
- PROC FASTCLUS statement
-
DROPSQUARE= option
- MODEL statement(LOESS)
-
DSCALE
- MODEL statement (GENMOD)
-
dual scaling
- CORRESP procedure
-
DUMMY option
- MODEL statement (TRANSREG)
- PROC PRINQUAL statement
-
DUNCAN option
- MEANS statement (ANOVA)
- MEANS statement (GLM)
-
Duncan's multiple range test
-
Duncan-Waller test
- error seriousness ratio "MEANS Statement"
- error seriousness ratio "MEANS Statement"
- multiple comparison (ANOVA)
-
DUNNETT option
- MEANS statement (ANOVA)
- MEANS statement (GLM)
-
Dunnett's adjustment
- GLM procedure
- MIXED procedure
-
Dunnett's test
- one-tailed lower "MEANS Statement"
- one-tailed lower "MEANS Statement"
- one-tailed upper
- two-tailed
-
DUNNETTL option
- MEANS statement (ANOVA)
- MEANS statement (GLM)
-
DUNNETTU option
- MEANS statement (ANOVA)
- MEANS statement (GLM)
-
DW option
- MODEL statement (REG)
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