A |
B |
C |
D |
E |
F |
G |
H |
I |
J |
K |
L |
M |
N |
O |
P |
Q |
R |
S |
T |
U |
V |
W |
X |
Y |
Z |
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"
