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T
-
T option
- MEANS statement (GLM)
- MODEL statement(LOESS)
- PROC CANCORR statement
-
T= option
- PROC ACECLUS statement
-
t statistic
- approximate
- for equality of means
-
t test
- MULTTEST procedure "Example 43.2: Freeman-Tukey and t-Tests with Bootstrap Resampling"
- MULTTEST procedure "Statistical Tests"
- MULTTEST procedure "TEST Statement"
- SURVEYMEANS procedure
-
t value
- CALIS procedure
- displaying (CALIS)
-
t-square statistic
- CLUSTER procedure "Miscellaneous Formulas"
- CLUSTER procedure "PROC CLUSTER Statement"
-
table names
- MIXED procedure
-
table scores
-
TABLEOUT option
- PROC REG statement
-
tables
- frequency and crosstabulation (FREQ) "Overview"
- frequency and crosstabulation (FREQ) "TABLES Statement"
- MIXED procedure
- multiway "Displayed Output"
- multiway "Displayed Output"
- multiway "Displayed Output"
- one-way frequency "Displayed Output"
- one-way frequency "Displayed Output"
- one-way, tests "Chi-Square Tests and Statistics"
- one-way, tests "Chi-Square Tests and Statistics"
- two-way, tests "Chi-Square Tests and Statistics"
- two-way, tests "Chi-Square Tests and Statistics"
-
TABLES statement
- FREQ procedure
-
TABLES statement, use
- CORRESP procedure
-
TABULATE procedure
-
TARGET= option
- PROC FACTOR statement
-
TAU= option
- PROC NLIN statement
-
TCORR option
- PROC CANDISC statement
- PROC DISCRIM statement
- PROC STEPDISC statement
-
TCOV option
- PROC CANDISC statement
- PROC DISCRIM statement
- PROC STEPDISC statement
-
TDATA= option
- PRIOR statement (MIXED)
-
TDIFF option
- LSMEANS statement (GLM)
-
TDPREFIX= option
- OUTPUT statement (TRANSREG)
-
TECHNIQUE= option
- MODEL statement (LOGISTIC)
- NLOPTIONS statement (CALIS)
- PROC CALIS statement
- PROC NLMIXED statement
-
templates
- displaying contents of template
- in SASUSER library
- modifying "Example 15.10: Using the TEMPLATE Procedure to Customize Output"
- modifying "Example 15.11: Creating HTML Output, Linked Within a Single Analysis"
- modifying "Using the Output Delivery System"
- style templates
- table templates
- TEMPLATE procedure
-
test indices
- constraints (CALIS)
-
TEST option
- MODEL statement (TRANSREG)
- PROC MODECLUS statement
- RANDOM statement (GLM)
-
test set classification
- DISCRIM procedure
-
test set validation
- PLS procedure
-
TEST statement
- ANOVA procedure
- FREQ procedure
- GLM procedure
- LOGISTIC procedure
- MULTTEST procedure
- PHREG procedure
- REG procedure
-
TESTCLASS statement, DISCRIM procedure
-
TESTDATA= option
- PROC DISCRIM statement
-
TESTF= option
- TABLES statement (FREQ) "Chi-Square Tests and Statistics"
- TABLES statement (FREQ) "TABLES Statement"
-
TESTFREQ statement, DISCRIM procedure
-
TESTID statement, DISCRIM procedure
-
testing linear hypotheses
- LOGISTIC procedure "TEST Statement"
- LOGISTIC procedure "Testing Linear Hypotheses about the Regression Coefficients"
-
TESTLIST option
- PROC DISCRIM statement
-
TESTLISTERR option
- PROC DISCRIM statement
-
TESTOUT= option
- PROC DISCRIM statement
-
TESTOUTD= option
- PROC DISCRIM statement
-
TESTP= option
- TABLES statement (FREQ) "Chi-Square Tests and Statistics"
- TABLES statement (FREQ) "Example 28.2: Computing Chi-square Tests for One-Way Frequency Tables"
- TABLES statement (FREQ) "TABLES Statement"
-
tests, hypothesis
- examples (GLM)
- GLM procedure
-
tetrachoric correlation coefficient
-
theoretical correlation
- INBREED procedure
-
thin-plate smoothing splines
- bootstrap "Example 64.5: Computing a Bootstrap Confidence Interval"
- bootstrap "Example 64.5: Computing a Bootstrap Confidence Interval"
- large data sets
- theoretical foundation
-
three-way multidimensional scaling
- MDS procedure
-
THRESHOLD= option
- PROC ACECLUS statement
- PROC DISCRIM statement
- PROC MODECLUS statement
-
threshold response rate
-
TICKPOS= option
- PROC TREE statement
-
ties
- checking for in CLUSTER procedure
- MDS procedure
- PHREG procedure "Displayed Output"
- PHREG procedure "Getting Started"
- PHREG procedure "MODEL Statement"
- PHREG procedure "MODEL Statement"
- PHREG procedure "MODEL Statement"
- PHREG procedure "Overview"
- PHREG procedure "Partial Likelihood Function for the Cox Model"
-
TIES= option
- MODEL statement (PHREG)
-
TIME= option
- TEST statement (MULTTEST)
-
time requirements
- ACECLUS procedure
- CLUSTER procedure
- FACTOR procedure "Cautions"
- FACTOR procedure "Time Requirements"
- VARCLUS procedure "Computational Resources"
- VARCLUS procedure "Using PROC VARCLUS"
-
time series data
- REG procedure
-
time-dependent covariates
- PHREG procedure "BASELINE Statement"
- PHREG procedure "Getting Started"
- PHREG procedure "OUTPUT Statement"
- PHREG procedure "Overview"
- PHREG procedure "PROC PHREG Statement"
- PHREG procedure "Programming Statements"
-
TIMELIM= option
- PROC LIFETEST statement
-
TIMELIST= option
- PROC LIFETEST statement
-
TIPREFIX option
- OUTPUT statement (TRANSREG)
-
TITLE= option
- FACTORS statement (CATMOD)
- LOGLIN statement (CATMOD)
- MODEL statement (CATMOD)
- REPEATED statement (CATMOD)
- RESPONSE statement (CATMOD)
-
Tobit model
- LIFEREG procedure "Example 36.2: Computing Predicted Values for a Tobit Model"
- LIFEREG procedure "Overview"
-
Toeplitz structure
- example (MIXED)
- MIXED procedure
-
TOL option
- MODEL statement (REG)
-
TOLERANCE option
- MODEL statement (GLM)
-
TOTAL= option
- PROC SURVEYMEANS statement
- PROC SURVEYREG statement
-
TOTEFF option
- PROC CALIS statement
-
TOTPANELS= option
- PLOT statement (BOXPLOT)
-
TOTPCT option
- TABLES statement (FREQ)
-
TPREFIX= option
- PROC PRINQUAL statement
-
TPSPLINE procedure
- bootstrap
- computational formulas
- large data sets
- nonhomogeneous variance
- ODS table names
- partial spline model
- smoothing parameter
- smoothing penalty
-
TPSPLINE procedure, BY statement
-
TPSPLINE procedure, FREQ statement
-
TPSPLINE procedure, ID statement
-
TPSPLINE procedure, MODEL statement
- ALPHA= option
- DF= option
- DISTANCE= option
- LAMBDA= option
- LAMBDA0= option
- LOGNLAMBDA= option
- LOGNLAMBDA0= option
- M= option
-
TPSPLINE procedure, OUTPUT statement
- OUT= option
-
TPSPLINE procedure, PROC TPSPLINE statement
- DATA= option
-
TPSPLINE procedure, SCORE statement
- DATA= option
- OUT= option
-
TRACE option
- PROC MODECLUS statement
- PROC NLIN statement
- PROC NLMIXED statement
- PROC VARCLUS statement
-
training data set
- DISCRIM procedure
-
TRANS= option
- PRIOR statement (MIXED)
-
TRANSFORM statement (PRINQUAL)
- ARSIN transformation
- DEGREE= option
- EVENLY option
- EXP transformation
- IDENTITY transformation
- KNOTS= option
- LINEAR transformation
- LOG transformation
- LOGIT transformation
- MONOTONE transformation
- MSPLINE transformation
- NAME= option
- NKNOTS= option
- OPSCORE transformation
- ORIGINAL option
- PARAMETER= option
- POWER transformation
- RANK transformation
- SPLINE transformation
- SSPLINE transformation
- TSTANDARD= option
- UNTIE transformation
-
TRANSFORM statement, PRINQUAL procedure
-
transformation matrix
- orthonormalizing
-
transformation options
- PRINQUAL procedure
- TRANSREG procedure
-
transformation standardization
- TRANSREG procedure
-
transformations
- ANOVA procedure
- cluster analysis
- for multivariate ANOVA "MANOVA Statement"
- for multivariate ANOVA "MANOVA Statement"
- MDS procedure "Formulas"
- 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"
- oblique "Background"
- oblique "PROC FACTOR Statement"
- orthogonal "Background"
- orthogonal "PROC FACTOR Statement"
- repeated measures "Repeated Measures Analysis of Variance"
- repeated measures "Repeated Measures Analysis of Variance"
- repeated measures "Repeated Measures Analysis of Variance"
- repeated measures "Repeated Measures Analysis of Variance"
- repeated measures "Repeated Measures Analysis of Variance"
- repeated measures "Repeated Measures Analysis of Variance"
-
transformations for repeated measures
- GLM procedure
-
transformed data
- MDS procedure
-
transformed distances
- MDS procedure
-
TRANSREG procedure
- additive models
- algorithms
- alpha level
- ANOVA
- ANOVA codings
- ANOVA table "Hypothesis Tests"
- ANOVA table "MODEL Statement"
- ANOVA table in OUTTEST= data set
- asterisk (*) operator
- at sign (@) operator
- B-spline basis "MODEL Statement"
- B-spline basis "SPLINE, BSPLINE, and PSPLINE Comparisons"
- bar (|) operator
- CANALS method
- canonical correlation "Model Statement Usage"
- canonical correlation "OUTPUT Statement"
- canonical variables
- casewise deletion
- cell-means coding "ANOVA Codings"
- cell-means coding "MODEL Statement"
- cell-means coding "Model Statement Usage"
- center-point coding "ANOVA Codings"
- center-point coding "ANOVA Codings"
- center-point coding "MODEL Statement"
- choice experiments
- CLASS variables, prefix
- classification variables "MODEL Statement"
- classification variables "MODEL Statement"
- coefficients, redundancy
- confidence limits
- confidence limits, individual
- confidence limits, mean
- confidence limits, prefix "OUTPUT Statement"
- confidence limits, prefix "OUTPUT Statement"
- confidence limits, prefix "OUTPUT Statement"
- confidence limits, prefix "OUTPUT Statement"
- confidence limits, prefix "OUTPUT Statement"
- confidence limits, prefix "OUTPUT Statement"
- confidence limits, prefix "OUTPUT Statement"
- confidence limits, prefix "OUTPUT Statement"
- conjoint analysis "Example 65.2: Nonmetric Conjoint Analysis of Tire Data"
- conjoint analysis "Example 65.3: Metric Conjoint Analysis of Tire Data"
- conjoint analysis "MODEL Statement"
- conjoint analysis "Model Statement Usage"
- conjoint analysis "Model Statement Usage"
- conjoint analysis "Model Statement Usage"
- constant transformations, avoiding
- constant variables "Constant Variables"
- constant variables "MODEL Statement"
- degrees of freedom
- dependent variable list
- dependent variable name
- design matrix
- details of model
- deviations-from-means coding "ANOVA Codings"
- deviations-from-means coding "ANOVA Codings"
- deviations-from-means coding "MODEL Statement"
- deviations-from-means coding "Model Statement Usage"
- deviations-from-means coding "Using the DESIGN Output Option"
- displaying iteration histories
- dummy variables
- duplicate variable names
- effect coding "ANOVA Codings"
- effect coding "ANOVA Codings"
- effect coding "Main-Effects ANOVA"
- effect coding "MODEL Statement"
- effect coding "Using the DESIGN Output Option"
- excluded observations
- excluding nonscore observations
- expansions
- explicit intercept
- frequency variable
- full-rank coding
- GLMMOD alternative "OUTPUT Statement"
- GLMMOD alternative "Using the DESIGN Output Option"
- history, iteration
- hypothesis tests "Hypothesis Tests"
- hypothesis tests "MODEL Statement"
- id variables
- ideal point model
- ideal points
- identity transformation
- implicit intercept
- independent variable list
- initialization
- interaction effects "MODEL Statement"
- interaction effects "Model Statement Usage"
- interaction effects "Model Statement Usage"
- interaction effects "Model Statement Usage"
- interaction effects "Model Statement Usage"
- interactions, quantitative
- intercept
- intercept, none
- iterations
- iterations, maximum number of
- iterations, restarting "MODEL Statement"
- iterations, restarting "Using the REITERATE Algorithm Option"
- knots "Example 65.1: Using Splines and Knots"
- knots "MODEL Statement"
- knots "MODEL Statement"
- knots "MODEL Statement"
- knots "Specifying the Number of Knots"
- less-than-full-rank model "ANOVA Codings"
- less-than-full-rank model "MODEL Statement"
- less-than-full-rank model "Model Statement Usage"
- leverage
- limiting displayed output
- linear regression
- linear transformation "MODEL Statement"
- linear transformation "OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations"
- macros
- main effects "MODEL Statement"
- main effects "Model Statement Usage"
- main effects "Model Statement Usage"
- main effects "Model Statement Usage"
- main effects "Model Statement Usage"
- maximum redundancy analysis
- METHOD=MORALS rolled output data set
- METHOD=MORALS variable names
- metric conjoint analysis
- missing value restoration option
- missing values "Missing Values"
- missing values "Missing Values, UNTIE, and Hypothesis Tests"
- missing values "MODEL Statement"
- missing values "Passive Observations"
- monotone regression function
- monotone transformations
- monotonic B-spline transformation "MODEL Statement"
- monotonic B-spline transformation "SPLINE and MSPLINE Transformations"
- monotonic transformation, ties not preserved "MODEL Statement"
- monotonic transformation, ties not preserved "OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations"
- monotonic transformation, ties preserved "MODEL Statement"
- monotonic transformation, ties preserved "OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations"
- MORALS dependent variable name
- MORALS method
- multiple redundancy coefficients
- multiple regression
- multivariate multiple regression
- names of variables
- nonlinear regression functions "Model Statement Usage"
- nonlinear regression functions "Solving Standard Least-Squares Problems"
- nonlinear transformations
- nonmetric conjoint analysis
- nonoptimal transformations
- optimal scaling
- optimal scoring "MODEL Statement"
- optimal scoring "OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations"
- optimal transformations
- order of CLASS levels "MODEL Statement"
- order of CLASS levels "MODEL Statement"
- OUT= data set "Output Data Set"
- OUT= data set "OUTPUT Statement"
- output table names
- OUTTEST= data set
- part-worth utilities
- passive observations
- piecewise polynomial splines "MODEL Statement"
- piecewise polynomial splines "SPLINE, BSPLINE, and PSPLINE Comparisons"
- %PLOTIT macro "Example 65.5: Preference Mapping of Cars Data"
- %PLOTIT macro "Example 65.5: Preference Mapping of Cars Data"
- %PLOTIT macro "Output Data Set"
- point models
- polynomial-spline basis "MODEL Statement"
- polynomial-spline basis "SPLINE, BSPLINE, and PSPLINE Comparisons"
- predicted values
- preference mapping "Example 65.5: Preference Mapping of Cars Data"
- preference mapping "Model Statement Usage"
- preference models
- prefix, canonical variables "OUTPUT Statement"
- prefix, canonical variables "OUTPUT Statement"
- prefix, redundancy variables
- prefix, residuals
- redundancy analysis "MODEL Statement"
- redundancy analysis "Model Statement Usage"
- redundancy analysis "OUTPUT Statement"
- redundancy analysis "OUTPUT Statement"
- redundancy analysis "Redundancy Analysis"
- redundancy analysis, standardization
- reference level "MODEL Statement"
- reference level "MODEL Statement"
- reference level "OUTPUT Statement"
- reference-cell coding "ANOVA Codings"
- reference-cell coding "ANOVA Codings"
- reference-cell coding "MODEL Statement"
- reference-cell coding "Model Statement Usage"
- regression table
- regression table in OUTTEST= data set
- reiteration "MODEL Statement"
- reiteration "Using the REITERATE Algorithm Option"
- renaming and reusing variables
- residuals
- residuals, prefix
- separate regression functions
- short output
- singularity criterion
- smoothing spline transformation
- smoothing splines
- spline t-options
- spline transformation "MODEL Statement"
- spline transformation "SPLINE and MSPLINE Transformations"
- splines "Example 65.1: Using Splines and Knots"
- splines "Example 65.4: Transformation Regression of Exhaust Emissions Data"
- splines "MODEL Statement"
- splines "MODEL Statement"
- splines "Solving Standard Least-Squares Problems"
- splines "SPLINE, BSPLINE, and PSPLINE Comparisons"
- standardization, redundancy variables
- standardization, transformation "MODEL Statement"
- standardization, transformation "MODEL Statement"
- star (*) operator
- transformation options
- transformation standardization "MODEL Statement"
- transformation standardization "MODEL Statement"
- Type II sums of squares
- types of observations
- _TYPE_
- utilities "Example 65.2: Nonmetric Conjoint Analysis of Tire Data"
- utilities "Example 65.3: Metric Conjoint Analysis of Tire Data"
- utilities "MODEL Statement"
- utilities in OUTTEST= data set
- variable list macros
- variable names
- vector preference models
- weight variable
-
TRANSREG procedure, BY statement
-
TRANSREG procedure, FREQ statement
-
TRANSREG procedure, ID statement
-
TRANSREG procedure, MODEL statement
- ADDITIVE option
- AFTER option
- ALPHA= option
- ARSIN transformation
- BSPLINE transformation
- CCONVERGE= option
- CL option
- CLASS transformation
- CONVERGE option
- CPREFIX= option "MODEL Statement"
- CPREFIX= option "MODEL Statement"
- DEGREE= option
- DETAIL option
- DEVIATIONS option
- DUMMY option
- EFFECTS option
- EPOINT transformation
- EVENLY option
- EXP transformation
- HISTORY option
- IDENTITY transformation
- KNOTS= option
- LINEAR transformation
- LOG transformation
- LOGIT transformation
- LPREFIX= option "MODEL Statement"
- LPREFIX= option "MODEL Statement"
- MAXITER= option
- METHOD= option
- MONOTONE= option
- MONOTONE transformation
- MSPLINE transformation
- NAME= option
- NCAN= option
- NKNOTS= option
- NOINT option
- NOMISS option
- NOPRINT option
- OPSCORE transformation
- ORDER= option "MODEL Statement"
- ORDER= option "MODEL Statement"
- ORIGINAL option
- PARAMETER= option
- POINT transformation
- POWER transformation
- PSPLINE transformation
- QPOINT transformation
- RANK transformation
- REFERENCE= option
- REFLECT option
- REITERATE option
- SEPARATORS= option "MODEL Statement"
- SEPARATORS= option "MODEL Statement"
- SHORT option
- SINGULAR= option
- SM= option
- SMOOTH transformation
- SPLINE transformation
- SS2 option
- SSPLINE transformation
- TEST option
- TSTANDARD= option "MODEL Statement"
- TSTANDARD= option "MODEL Statement"
- TYPE= option
- UNTIE= option
- UNTIE transformation
- UTILITIES option
- ZERO= option
-
TRANSREG procedure, OUTPUT statement
- ADPREFIX= option
- AIPREFIX option
- APPROXIMATIONS option
- CANONICAL option
- CCC option
- CDPREFIX= option
- CEC option
- CILPREFIX= option
- CIPREFIX= option
- CIUPREFIX= option
- CLI option
- CLM option
- CMLPREFIX= option
- CMUPREFIX= option
- COEFFICIENTS option
- COORDINATES option
- CPC option
- CQC option
- DAPPROXIMATIONS option
- DEPENDENT= option
- DESIGN= option
- DREPLACE option
- IAPPROXIMATIONS option
- IREPLACE option
- LEVERAGE= option
- LILPREFIX= option
- LIUPREFIX= option
- LMLPREFIX= option "OUTPUT Statement"
- LMLPREFIX= option "OUTPUT Statement"
- MACRO option
- MEANS option
- MEC option
- MPC option
- MQC option
- MRC option
- MREDUNDANCY option
- NORESTOREMISSING option
- NOSCORES option
- NOZEROCONSTANT option
- OUT= option
- PPREFIX option
- PREDICTED option
- RDPREFIX= option
- REDUNDANCY= option
- REFERENCE= option
- REPLACE option
- RESIDUALS option
- RPREFIX= option
- TDPREFIX= option
- TIPREFIX option
-
TRANSREG procedure, PROC TRANSREG statement
- DATA= option
- OUTTEST= option
-
TRANSREG procedure, WEIGHT statement
-
treatments in a design
- specifying in PLAN procedure
-
TREATMENTS statement
- PLAN procedure
-
tree diagram
- binary tree
- branch
- children
- definitions
- leaves
- node
- parent
- root
-
tree diagrams
- cluster analysis
-
TREE procedure
- missing values
- OUT= data sets
- output data sets
- output table names
-
TREE procedure, BY statement
-
TREE procedure, COPY statement
-
TREE procedure, FREQ statement
-
TREE procedure, HEIGHT statement
-
TREE procedure, ID statement
-
TREE procedure, NAME statement
-
TREE procedure, PARENT statement
-
TREE procedure, PROC TREE statement
- CFRAME= option
- DATA= option
- DESCENDING option
- DESCRIPTION= option
- DISSIMILAR option
- DOCK= option
- FILLCHAR= option
- GOUT= option
- HAXIS= option
- HEIGHT= option
- HORDISPLAY= option
- HORIZONTAL option
- HPAGES= option
- INC= option
- JOINCHAR= option
- LEAFCHAR= option
- LEVEL= option
- LINEPRINTER option
- LINES= option
- LIST option
- MAXHEIGHT= option
- MINHEIGHT= option
- NAME= option
- NCLUSTERS= option
- NOPRINT option
- NTICK= option
- OUT= option
- PAGES= option
- POS= option
- ROOT= option
- SIMILAR option
- SORT option
- SPACES= option
- TICKPOS= option
- TREECHAR= option
- VAXIS= option
- VPAGES= option
-
TREECHAR= option
- PROC TREE statement
-
TREND option
- EXACT statement (FREQ) "EXACT Statement"
- EXACT statement (FREQ) "Example 28.7: Computing the Cochran-Armitage Trend Test"
- OUTPUT statement (FREQ)
- TABLES statement (FREQ) "Example 28.7: Computing the Cochran-Armitage Trend Test"
- TABLES statement (FREQ) "TABLES Statement"
-
trend test
- Cochran-Armitage
-
TRIM= option
- and other options
- and other options (CLUSTER) "PROC CLUSTER Statement"
- and other options (CLUSTER) "PROC CLUSTER Statement"
- and other options (CLUSTER) "PROC CLUSTER Statement"
- and other options (CLUSTER) "PROC CLUSTER Statement"
- PROC CLUSTER statement "PROC CLUSTER Statement"
- PROC CLUSTER statement "PROC CLUSTER Statement"
-
triweight kernel (DISCRIM)
-
trust region (TR)
-
trust region algorithm
- CALIS procedure "PROC CALIS Statement"
- CALIS procedure "Use of Optimization Techniques"
-
TSSCP option
- PROC CANDISC statement
- PROC DISCRIM statement
- PROC STEPDISC statement
-
TSTANDARD= option
- MODEL statement (TRANSREG)
- PROC PRINQUAL statement
- TRANSFORM statement (PRINQUAL)
-
TSYMM option
- OUTPUT statement (FREQ)
-
TTEST procedure
- alpha level
- Cochran and Cox t approximation "Computational Methods"
- Cochran and Cox t approximation "Overview"
- Cochran and Cox t approximation "PROC TTEST Statement"
- compared to other procedures
- computational method
- confidence intervals
- input data set
- introductory example
- missing values
- ODS table names
- paired comparisons "Example 67.3: Paired Comparisons"
- paired comparisons "Overview"
- paired t test
- paired-difference t test
- Satterthwaite's approximation "Computational Methods"
- Satterthwaite's approximation "Overview"
- uniformly most powerful unbiased test
-
TTEST procedure, BY statement
-
TTEST procedure, CLASS statement
-
TTEST procedure, FREQ statement
-
TTEST procedure, PAIRED statement
-
TTEST procedure, PROC TTEST statement
- ALPHA= option
- CI= option
- COCHRAN option
- DATA= option
-
TTEST procedure, VAR statement
-
TTEST procedure, WEIGHT statement
-
Tucker and Lewis's Reliability Coefficient
-
TUKEY option
- MEANS statement (ANOVA)
- MEANS statement (GLM)
-
Tukey's adjustment
- GLM procedure
- MIXED procedure
-
Tukey's studentized range test
-
Tukey-Kramer test
-
TURNHLABELS option
- PLOT statement (BOXPLOT)
-
two-sample t-test
-
two-stage density linkage
- CLUSTER procedure "Clustering Methods"
- CLUSTER procedure "PROC CLUSTER Statement"
-
Type 1 analysis
- GENMOD procedure "The GENMOD Procedure"
- GENMOD procedure "Type 1 Analysis"
-
Type 1 error rate
- repeated multiple comparisons
-
Type 1 estimation
- MIXED procedure
-
Type 2 estimation
- MIXED procedure
-
Type 3 analysis
- GENMOD procedure "The GENMOD Procedure"
- GENMOD procedure "Type 3 Analysis"
-
Type 3 estimation
- MIXED procedure
-
TYPE= data sets
- FACTOR procedure
-
Type H covariance structure
-
Type I sum of squares
- computing in GLM
- displaying (GLM)
- estimable functions for
- estimable functions for (GLM)
- examples
-
Type I testing
- MIXED procedure
-
Type II sum of squares
- computing in GLM
- displaying (GLM)
- estimable functions for
- estimable functions for (GLM)
- examples
-
Type II sums of squares
- TRANSREG procedure
-
Type II testing
- MIXED procedure
-
Type III sum of squares
- displaying (GLM)
- estimable functions for
- estimable functions for (GLM)
- examples
-
Type III testing
- MIXED procedure "Default Output"
- MIXED procedure "MODEL Statement"
-
Type IV sum of squares
- computing in GLM
- displaying (GLM)
- estimable functions for
- estimable functions for (GLM)
- examples
-
TYPE= option
- MODEL statement (TRANSREG)
- PROC PRINQUAL statement
- PROC SCORE statement
- RANDOM statement (MIXED)
- REPEATED statement (GENMOD)
- REPEATED statement (MIXED)
-
TYPE1 option
- MODEL statement (GENMOD)
-
TYPE3 option
- MODEL statement (GENMOD)
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