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W |
X |
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Z |
L
-
L matrices
- MIXED procedure "CONTRAST Statement"
- MIXED procedure "LSMEANS Statement"
- MIXED procedure "Mixed Models Theory"
-
L= option
- PROC FASTCLUS statement
-
L95 option
- MODEL statement (RSREG)
-
L95= option
- OUTPUT statement (NLIN)
-
L95M option
- MODEL statement (RSREG)
-
L95M= option
- OUTPUT statement (NLIN)
-
lack of fit tests
- RSREG procedure
-
LACKFIT option
- MODEL statement (LOGISTIC)
- MODEL statement (RSREG)
- PROC PROBIT statement
-
LAGDISTANCE= option
- COMPUTE statement (VARIOGRAM)
-
Lagrange multiplier
- covariance matrix
- NLMIXED procedure
- statistics (GENMOD)
- test statistics (LIFEREG)
- test, modification indices (CALIS) "Modification Indices"
- test, modification indices (CALIS) "Modification Indices"
- test, modification indices (CALIS) "Modification Indices"
- test, modification indices (CALIS) "PROC CALIS Statement"
-
LAGTOLERANCE= option
- COMPUTE statement (VARIOGRAM)
-
lambda asymmetric
-
LAMBDA= option
- MODEL statement (TPSPLINE)
-
lambda symmetric
-
LAMBDA0= option
- MODEL statement (TPSPLINE)
-
LAMCR option
- OUTPUT statement (FREQ)
- TEST statement (FREQ)
-
LAMDAS option
- OUTPUT statement (FREQ)
- TEST statement (FREQ)
-
LAMRC option
- OUTPUT statement (FREQ)
- TEST statement (FREQ)
-
LANNOTATE= option
- PROC LIFETEST statement
-
latent variables
- CALIS procedure "LINEQS Model Statement"
- CALIS procedure "Overview"
- CALIS procedure "VARNAMES Statement"
-
latent vectors
- PLS procedure
-
Latin square design
- ANOVA procedure
- generating with PLAN procedure
-
lattice design
- balanced square lattice (LATTICE) "Getting Started"
- balanced square lattice (LATTICE) "Overview"
- efficiency (LATTICE) "Displayed Output"
- efficiency (LATTICE) "Example 35.1: Analysis of Variance through PROC LATTICE"
- efficiency (LATTICE) "Getting Started"
- partially balanced square lattice (LATTICE) "Example 35.1: Analysis of Variance through PROC LATTICE"
- partially balanced square lattice (LATTICE) "Overview"
- rectangular lattice (LATTICE)
-
LATTICE procedure
- adjusted treatment means
- ANOVA table
- Block variable "Getting Started"
- Block variable "Input Data Set"
- Block variable "Syntax"
- compared to MIXED procedure
- covariance
- Group variable "Getting Started"
- Group variable "Input Data Set"
- Group variable "Syntax"
- lattice design efficiency "Displayed Output"
- lattice design efficiency "Getting Started"
- least significant differences
- missing values
- ODS table names
- Rep variable "Getting Started"
- Rep variable "Input Data Set"
- Rep variable "Syntax"
- response variable
- Treatmnt variable "Getting Started"
- Treatmnt variable "Input Data Set"
- Treatmnt variable "Syntax"
- variance of means
-
LATTICE procedure, BY statement
-
LATTICE procedure, PROC LATTICE statement
- COV option
- COVARIANCE option
- DATA= option
-
LATTICE procedure, VAR statement
-
LBOXES= option
- PLOT statement (BOXPLOT)
-
LCDEACT= option
- NLOPTIONS statement (CALIS)
- PROC NLMIXED statement
-
LCEPSILON= option
- NLOPTIONS statement (CALIS)
- PROC NLMIXED statement
-
LCL keyword
- OUTPUT statement (GLM)
-
LCLM keyword
- OUTPUT statement (GLM)
-
LCSINGULAR= option
- NLOPTIONS statement (CALIS)
- PROC NLMIXED statement
-
LD statistic
- PHREG procedure "Influence of Observations on Overall Fit of the Model"
- PHREG procedure "OUTPUT Statement"
-
LDATA= option
- RANDOM statement (MIXED)
- REPEATED statement (MIXED)
-
leader algorithm
-
LEAFCHAR= option
- PROC TREE statement
-
LEAST= option
- PROC FASTCLUS statement
-
least significant differences
- LATTICE procedure
-
least-significant-difference test
-
least-squares estimation
- LIFEREG procedure "Computational Method"
- LIFEREG procedure "Model Specifications"
-
least-squares means
- Bonferroni adjustment (GLM)
- Bonferroni adjustment (MIXED)
- BYLEVEL processing (MIXED)
- coefficient adjustment
- compared to means (GLM)
- comparison types (GLM)
- comparison types (MIXED)
- construction of
- covariate values (GLM)
- covariate values (MIXED)
- Dunnett's adjustment (GLM)
- Dunnett's adjustment (MIXED)
- examples (GLM) "Example 30.3: Unbalanced ANOVA for Two-Way Design with Interaction"
- examples (GLM) "Example 30.5: Three-Way Analysis of Variance with Contrasts"
- examples (MIXED) "Example 41.3: Plotting the Likelihood"
- examples (MIXED) "Example 41.6: Line-Source Sprinkler Irrigation"
- GLM procedure
- Hsu's adjustment (GLM)
- Hsu's adjustment (MIXED)
- mixed model (MIXED)
- multiple comparisons adjustment (GLM) "LSMEANS Statement"
- multiple comparisons adjustment (GLM) "LSMEANS Statement"
- multiple comparisons adjustment (MIXED)
- nonstandard weights (GLM)
- nonstandard weights (MIXED)
- observed margins (GLM)
- observed margins (MIXED)
- Sidak's adjustment (GLM)
- Sidak's adjustment (MIXED)
- simple effects (GLM) "LSMEANS Statement"
- simple effects (GLM) "Simple Effects"
- simple effects (MIXED)
- simulation-based adjustment (GLM)
- simulation-based adjustment (MIXED)
- Tukey's adjustment (GLM)
- Tukey's adjustment (MIXED)
-
left truncation time
- PHREG procedure "Left Truncation of Failure Times"
- PHREG procedure "MODEL Statement"
-
LEGEND= option
- PLOT statement (REG)
-
LENDGRID= option
- PLOT statement (BOXPLOT)
-
less-than-full-rank model
- TRANSREG procedure "ANOVA Codings"
- TRANSREG procedure "MODEL Statement"
-
level of measurement
- MDS procedure "Overview"
- MDS procedure "PROC MDS Statement"
-
LEVEL= option
- PROC MDS statement
- PROC TREE statement
-
LEVELS= option
- PROC KDE statement
-
levels, of class variable
-
Levenberg-Marquardt algorithm
- CALIS procedure "PROC CALIS Statement"
- CALIS procedure "Use of Optimization Techniques"
-
Levene's test for homogeneity of variance
- ANOVA procedure
- GLM procedure "Example 30.10: Testing for Equal Group Variances"
- GLM procedure "Homogeneity of Variance in One-Way Models"
- GLM procedure "MEANS Statement"
-
leverage
- TRANSREG procedure
-
LEVERAGE= option
- OUTPUT statement (TRANSREG)
-
LGOR option
- OUTPUT statement (FREQ)
-
LGRID= option
- PLOT statement (BOXPLOT)
-
LGRRC1 option
- OUTPUT statement (FREQ)
-
LGRRC2 option
- OUTPUT statement (FREQ)
-
LHREF= option
- PLOT statement (BOXPLOT)
- PLOT statement (REG)
-
life data
- GENMOD procedure
-
life table estimates
-
LIFEREG procedure
- accelerated failure time models
- censoring "Model Specifications"
- censoring "MODEL Statement"
- computational details "Computational Method"
- computational details "Model Specifications"
- computational resources
- cumulative distribution function
- failure time
- information matrix "Computational Method"
- information matrix "Model Specifications"
- information matrix "Overview"
- information matrix "Overview"
- initial estimates
- Lagrange multiplier test statistics
- least-squares estimation "Computational Method"
- least-squares estimation "Model Specifications"
- log-likelihood function "Computational Method"
- log-likelihood function "Model Specifications"
- log-likelihood function "Overview"
- log-likelihood ratio tests
- main effects
- maximum likelihood estimates
- missing values
- model specification
- Newton-Raphson algorithm
- OUTEST= data sets
- output table names
- predicted values
- supported distributions
- survival distribution function "Model Specifications"
- survival distribution function "Overview"
- survival distribution function "Supported Distributions"
- Tobit model "Example 36.2: Computing Predicted Values for a Tobit Model"
- Tobit model "Overview"
-
LIFEREG procedure, BY statement
-
LIFEREG procedure, CLASS statement
-
LIFEREG procedure, MODEL statement
- CONVERGE= option
- CONVG= option
- CORRB option
- COVB option
- DISTRIBUTION= option
- INITIAL= option
- INTERCEPT= option
- ITPRINT option
- MAXITER= option
- NOINT option
- NOLOG option
- NOSCALE option
- NOSHAPE1 option
- SCALE= option
- SHAPE1= option
- SINGULAR= option
-
LIFEREG procedure, OUTPUT statement
- CDF keyword
- CENSORED keyword
- CONTROL keyword
- keyword= option
- OUT= option
- PREDICTED keyword
- QUANTILES keyword
- STD_ERR keyword
- XBETA keyword
-
LIFEREG procedure, PROC LIFEREG statement
- COVOUT option
- DATA= option
- NOPRINT option
- ORDER= option
- OUTEST= option
-
LIFEREG procedure, WEIGHT statement
-
LIFETEST procedure
- annotations
- BY statement
- computational formulas
- confidence intervals: density
- confidence intervals: hazard function
- confidence intervals: survivor function
- confidence limits
- covariates
- covariates: and survival analysis
- effective sample size
- FREQ statement
- homogeneity of survival curves "Getting Started"
- homogeneity of survival curves "Overview"
- ID Statement
- interpreting plots
- interval determination
- INTERVALS= option
- Kaplan-Meier estimates
- life table estimates
- life table method
- likelihood ratio test "Computational Formulas"
- likelihood ratio test "Getting Started"
- likelihood ratio test "Overview"
- log rank test
- log rank test for association "Computational Formulas"
- log rank test for association "Overview"
- log rank test for homogeneity "Computational Formulas"
- log rank test for homogeneity "Overview"
- mean survival time
- missing values
- NOTABLE option
- ODS table names
- output data sets
- OUTSURV= data set
- OUTTEST= data set
- product-limit estimates
- product-limit method
- proportional hazards model
- rank tests "Computational Formulas"
- rank tests "Computational Formulas"
- saving graphics output
- STRATA statement
- suppressing output
- survival analysis
- TEST statement
- tests of association
- time limit
- TIME statement
- WIDTH= option
- Wilcoxon test
- Wilcoxon test for association "Computational Formulas"
- Wilcoxon test for association "Overview"
- Wilcoxon test for homogeneity "Computational Formulas"
- Wilcoxon test for homogeneity "Overview"
-
LIFETEST procedure, PROC LIFETEST statement
- ALPHA= option
- ALPHAQT= option
- ANNOTATE= option
- CENSOREDSYMBOL= option
- DATA= option
- DESCRIPTION= option
- EVENTSYMBOL= option
- FORMCHAR= option
- GOUT= option
- INTERVALS= option
- LANNOTATE= option
- LINEPRINTER option
- MAXTIME= option
- METHOD= option
- MISSING option
- NINTERVAL= option
- NOCENSPLOT option
- NOPRINT option
- NOTABLE option
- OUTSURV= option
- OUTTEST= option
- PLOTS= option
- REDUCEOUT option
- SINGULAR= option
- TIMELIM= option
- TIMELIST= option
- WIDTH= option
-
likelihood displacement
- PHREG procedure "Influence of Observations on Overall Fit of the Model"
- PHREG procedure "OUTPUT Statement"
-
likelihood function
-
likelihood ratio test
- Bartlett's modification
- CALIS procedure "Assessment of Fit"
- CALIS procedure "Modification Indices"
- chi-square (FREQ)
- example (MIXED)
- LIFETEST procedure
- mixed model (MIXED) "Mixed Models Theory"
- mixed model (MIXED) "Mixed Models Theory"
- MIXED procedure
- PHREG procedure "Displayed Output"
- PHREG procedure "Displayed Output"
- PHREG procedure "Testing the Global Null Hypothesis"
-
likelihood residuals
- GENMOD procedure
-
likelihood-ratio test
- chi-square (FREQ)
-
LILPREFIX= option
- OUTPUT statement (TRANSREG)
-
LINCON statement, CALIS procedure
-
line printer plots
- REG procedure "Line Printer Scatter Plot Features"
- REG procedure "PLOT Statement"
-
line-search methods
- NLMIXED procedure "Line-Search Methods"
- NLMIXED procedure "PROC NLMIXED Statement"
- NLMIXED procedure "PROC NLMIXED Statement"
-
linear discriminant function
-
linear hypotheses
- PHREG procedure "Overview"
- PHREG procedure "TEST Statement"
- PHREG procedure "Testing Linear Hypotheses about Regression Coefficients"
-
linear model
- GENMOD procedure "Examples of Generalized Linear Models"
- GENMOD procedure "What is a Generalized Linear Model?"
-
linear models
- CATMOD procedure
- compared with log-linear models
-
linear predictor
- GENMOD procedure "Displayed Output"
- GENMOD procedure "Overview"
- GENMOD procedure "Parameterization Used in PROC GENMOD"
- GENMOD procedure "Poisson Regression"
- GENMOD procedure "What is a Generalized Linear Model?"
- PHREG procedure "BASELINE Statement"
- PHREG procedure "Example 49.7: Analysis of Residuals"
- PHREG procedure "Example 49.7: Analysis of Residuals"
- PHREG procedure "OUTPUT Statement"
- PHREG procedure "OUTPUT Statement"
-
linear regression
- TRANSREG procedure
-
linear structure
- MIXED procedure
-
LINEAR transformation
- MODEL statement (TRANSREG)
- TRANSFORM statement (PRINQUAL)
- PRINQUAL procedure
- TRANSREG procedure "MODEL Statement"
- TRANSREG procedure "OPSCORE, MONOTONE, UNTIE, and LINEAR Transformations"
-
LINEPRINTER option
- PROC LIFETEST statement
- PROC REG statement
- PROC TREE statement
-
LINEQS model
- CALIS procedure "LINEQS Model Statement"
- CALIS procedure "Structural Equation Models"
- specification
- structural model example (CALIS) "Getting Started"
- structural model example (CALIS) "Structural Equation Models"
-
LINEQS statement, CALIS procedure
-
LINES option
- MEANS statement (ANOVA)
- MEANS statement (GLM)
-
LINES= option
- PROC TREE statement
-
LINESEARCH= option
- NLOPTIONS statement (CALIS)
- PROC CALIS statement
- PROC NLMIXED statement
-
link function
- built-in (GENMOD) "MODEL Statement"
- built-in (GENMOD) "The GENMOD Procedure"
- GENMOD procedure "Generalized Linear Models Theory"
- GENMOD procedure "Overview"
- GENMOD procedure "What is a Generalized Linear Model?"
- LOGISTIC procedure "Link Functions and the Corresponding Distributions"
- LOGISTIC procedure "Link Functions and the Corresponding Distributions"
- LOGISTIC procedure "MODEL Statement"
- LOGISTIC procedure "Overview"
- LOGISTIC procedure "Score Statistics and Tests"
- user-defined (GENMOD)
-
LINK= option
- MODEL statement (GENMOD)
- MODEL statement (LOGISTIC)
-
LISREL model
- CALIS procedure
- structural model example (CALIS)
-
LIST option
- PROC DISCRIM statement
- PROC FASTCLUS statement
- PROC MODECLUS statement
- PROC NLIN statement
- PROC NLMIXED statement
- PROC TREE statement
- STRATA statement (SURVEYMEANS)
- STRATA statement (SURVEYREG)
- TABLES statement (FREQ)
-
LISTALL option
- PROC NLIN statement
-
LISTCODE option
- PROC NLIN statement
- PROC NLMIXED statement
-
LISTDEP option
- PROC NLIN statement
-
LISTDER option
- PROC NLIN statement
-
LISTERR option
- PROC DISCRIM statement
-
LIUPREFIX= option
- OUTPUT statement (TRANSREG)
-
LLINE= option
- PLOT statement (REG)
-
LMAX statistic
- PHREG procedure
-
LMLPREFIX= option
- OUTPUT statement (TRANSREG)
-
local influence
- DFBETA statistics (PHREG) "Diagnostics Based on Weighted Residuals"
- DFBETA statistics (PHREG) "OUTPUT Statement"
- score residuals (PHREG) "OUTPUT Statement"
- score residuals (PHREG) "Residuals"
- weighted score residuals (PHREG)
-
local kriging
- KRIGE2D procedure
-
LOCAL option
- PROC MODECLUS statement
-
LOCAL= option
- REPEATED statement (MIXED)
-
LOCALW option
- REPEATED statement (MIXED)
-
LOESS procedure
- data scaling
- direct fitting method
- introductory example
- iterative reweighting
- kd trees and blending
- local polynomials
- local weighting
- missing values
- output data sets
- output table names
- scoring data sets
- statistical inference
-
LOESS procedure, BY statement
-
LOESS procedure, ID statement
-
LOESS procedure, MODEL statement
- ALL option
- ALPHA= option
- BUCKET= option
- CLM= option
- DEGREE= option
- DETAILS option
- DFMETHOD= option
- DIRECT option
- DROPSQUARE= option
- ITERATIONS= option
- RESIDUAL option
- SCALE= option
- SCALEDINDEP option
- SMOOTH= option
- STD option
- T option
-
LOESS procedure, PROC LOESS statement
-
LOESS procedure, SCORE statement
- CLM option
- PRINT option
-
LOESS procedure, WEIGHT statement
-
log likelihood ratio chi-square test
-
log odds
- LOGISTIC procedure
-
LOG option
- PROC PROBIT statement
-
log rank test
- LIFETEST procedure
-
LOG transformation
- MODEL statement (TRANSREG)
- TRANSFORM statement (PRINQUAL)
-
log-likelihood
- functions (GENMOD)
- output data sets (LOGISTIC)
-
log-likelihood function
- LIFEREG procedure "Computational Method"
- LIFEREG procedure "Model Specifications"
- LIFEREG procedure "Overview"
- PROBIT procedure
-
log-likelihood ratio tests
- LIFEREG procedure
-
log-linear models
- CATMOD procedure "Log-Linear Model Analysis"
- CATMOD procedure "Poisson Regression"
- CATMOD procedure "Types of Statistical Analyses"
- compared with linear models
- design matrix (CATMOD)
- examples (CATMOD) "Example 22.4: Log-Linear Model, Three Dependent Variables"
- examples (CATMOD) "Example 22.5: Log-Linear Model, Structural and Sampling Zeros"
- GENMOD procedure
- multiple populations (CATMOD)
- one population (CATMOD)
-
log-linear variance model
- MIXED procedure
-
log-rank test
- PHREG procedure
-
LOG10 option
- PROC PROBIT statement
-
LOGDETH option
- PARMS statement (MIXED)
-
logistic analysis
- CATMOD procedure "Logistic Analysis"
- CATMOD procedure "Types of Statistical Analyses"
- caution (CATMOD)
- examples (CATMOD)
- ordinal data
-
logistic distribution
- PROBIT procedure
-
LOGISTIC procedure
- Akaike's information criterion
- Bayes' theorem
- best subset selection
- branch and bound algorithm
- classification table "Classification Table"
- classification table "Classification Table"
- classification table "Example 39.5: Stratified Sampling"
- classification table "MODEL Statement"
- confidence intervals "Confidence Intervals for Parameters"
- confidence intervals "Confidence Intervals for Parameters"
- confidence intervals "MODEL Statement"
- confidence intervals "MODEL Statement"
- confidence intervals "MODEL Statement"
- confidence limits
- convergence criterion
- customized odds ratio
- descriptive statistics
- deviance "MODEL Statement"
- deviance "MODEL Statement"
- deviance "Overdispersion"
- DFBETA diagnostic
- dispersion parameter
- displayed output
- estimability checking
- existence of MLEs
- Fisher's scoring method "Iterative Algorithms for Model-Fitting"
- Fisher's scoring method "MODEL Statement"
- Fisher's scoring method "MODEL Statement"
- goodness of fit "MODEL Statement"
- goodness of fit "MODEL Statement"
- gradient
- hat matrix
- Hessian matrix "MODEL Statement"
- Hessian matrix "Score Statistics and Tests"
- hierarchy
- Hosmer-Lemeshow test "MODEL Statement"
- Hosmer-Lemeshow test "The Hosmer-Lemeshow Goodness-of-Fit Test"
- Hosmer-Lemeshow test "The Hosmer-Lemeshow Goodness-of-Fit Test"
- infinite parameter estimates
- initial values
- introductory example
- link function "Link Functions and the Corresponding Distributions"
- link function "Link Functions and the Corresponding Distributions"
- link function "MODEL Statement"
- link function "Overview"
- link function "Score Statistics and Tests"
- log odds
- maximum likelihood algorithms
- missing values
- model fitting criteria
- model hierarchy "MODEL Statement"
- model hierarchy "Overview"
- model selection "Effect Selection Methods"
- model selection "MODEL Statement"
- model selection "MODEL Statement"
- multiple classifications
- Newton-Raphson algorithm "Iterative Algorithms for Model-Fitting"
- Newton-Raphson algorithm "Iterative Algorithms for Model-Fitting"
- Newton-Raphson algorithm "MODEL Statement"
- Newton-Raphson algorithm "MODEL Statement"
- odds ratio confidence limits "MODEL Statement"
- odds ratio confidence limits "MODEL Statement"
- odds ratio confidence limits "MODEL Statement"
- odds ratio estimation
- ODS table names
- output data sets "OUT= Output Data Set"
- output data sets "OUTEST= Output Data Set"
- output data sets "PROC LOGISTIC Statement"
- output ROC data sets
- overdispersion "MODEL Statement"
- overdispersion "Overdispersion"
- overdispersion "Overdispersion"
- Pearson's chi-square "MODEL Statement"
- Pearson's chi-square "MODEL Statement"
- Pearson's chi-square "Overdispersion"
- predicted probabilities
- prior event probability "Classification Table"
- prior event probability "Example 39.5: Stratified Sampling"
- prior event probability "MODEL Statement"
- profile likelihood convergence criterion
- rank correlation
- regression diagnostics
- residuals
- reverse response level ordering "PROC LOGISTIC Statement"
- reverse response level ordering "Response Level Ordering"
- reverse response level ordering "Response Level Ordering"
- ROC curve "MODEL Statement"
- ROC curve "Receiver Operating Characteristic Curves"
- Schwarz criterion
- score statistics
- selection methods "Effect Selection Methods"
- selection methods "MODEL Statement"
- selection methods "MODEL Statement"
- singular contrast matrix
- subpopulation "MODEL Statement"
- subpopulation "MODEL Statement"
- subpopulation "Overdispersion"
- testing linear hypotheses "TEST Statement"
- testing linear hypotheses "Testing Linear Hypotheses about the Regression Coefficients"
- Williams' method
-
LOGISTIC procedure, BY statement
-
LOGISTIC procedure, CLASS statement
- CPREFIX= option
- DESCENDING option
- LPREFIX= option
- ORDER= option
- PARAM= option
- REF= option
-
LOGISTIC procedure, CONTRAST statement
- ALPHA= option
- E option
- ESTIMATE= option
- SINGULAR= option
-
LOGISTIC procedure, FREQ statement
-
LOGISTIC procedure, MODEL statement
- ABSFCONV option
- AGGREGATE= option
- ALPHA= option
- BEST= option
- CL option
- CLODDS= option
- CLPARM= option
- CONVERGE= option
- CORRB option
- COVB option
- CTABLE option
- DETAILS option
- EXPEST option
- FAST option
- FCONV= option
- GCONV= option
- HIERARCHY= option
- INCLUDE= option
- INFLUENCE option
- IPLOTS option
- ITPRINT option
- LACKFIT option
- LINK= option
- MAXITER= option
- MAXSTEP= option
- NOCHECK option
- NODESIGNPRINT= option
- NODUMMYPRINT= option
- NOFIT option
- NOINT option
- OFFSET= option
- OUTROC= option
- PARMLABEL option
- PEVENT= option
- PLCL option
- PLCONV= option
- PLRL option
- PPROB= option
- RIDGING= option
- RISKLIMITS option
- ROCEPS= option
- RSQUARE option
- SCALE= option
- SELECTION= option
- SEQUENTIAL option
- SINGULAR= option
- SLENTRY= option
- SLSTAY= option
- START= option
- STB= option
- STOP= option
- STOPRES option
- TECHNIQUE= option
- WALDCL option
- WALDRL option
- XCONV= option
-
LOGISTIC procedure, OUTPUT statement
- ALPHA= option
- C= option
- CBAR= option
- DFBETAS= option
- DIFCHISQ= option
- DIFDEV= option
- H= option
- LOWER= option
- OUT= option
- PREDICTED= option
- PREDPROBS= option
- RESCHI= option
- RESDEV= option
- STDXBETA = option
- UPPER= option
- XBETA= option
-
LOGISTIC procedure, PROC LOGISTIC statement
- COVOUT option
- DATA= option
- DESCENDING option
- INEST= option
- NAMELEN= option
- NOPRINT option
- ORDER= option
- OUTEST= option
- RORDER= option
- SIMPLE option
-
LOGISTIC procedure, TEST statement
- PRINT option
-
LOGISTIC procedure, UNITS statement
- DEFAULT= option
-
LOGISTIC procedure, WEIGHT statement
- NORMALIZE option
-
logistic regression
- CATMOD procedure "Logistic Analysis"
- CATMOD procedure "Types of Statistical Analyses"
- examples (CATMOD)
- GENMOD procedure "Example 29.1: Logistic Regression"
- GENMOD procedure "Examples of Generalized Linear Models"
-
LOGIT function
- RESPONSE statement (CATMOD)
-
LOGIT transformation
- MODEL statement (TRANSREG)
- TRANSFORM statement (PRINQUAL)
-
LOGLIN statement
- CATMOD procedure
-
loglogistic distribution
-
LOGNLAMBDA= option
- MODEL statement (TPSPLINE)
-
LOGNLAMBDA0= option
- MODEL statement (TPSPLINE)
-
lognormal distribution
-
LOGNOTE option
- PROC MIXED statement
-
LOGNOTE= option
- PRIOR statement (MIXED)
-
LOGOR= option
- REPEATED statement (GENMOD)
-
LOGRBOUND= option
- PRIOR statement (MIXED)
-
long run times
- NLMIXED procedure
-
Longley data set
-
LOWER= option
- OUTPUT statement (LOGISTIC)
-
LOWERB= option
- PARMS statement (MIXED)
-
LOWERTAILED option
- ESTIMATE statement (MIXED)
- TEST statement (MULTTEST)
-
Lp clustering
- FASTCLUS procedure "Overview"
- FASTCLUS procedure "PROC FASTCLUS Statement"
-
LPREFIX= option
- CLASS statement (LOGISTIC)
- MODEL statement (TRANSREG) "MODEL Statement"
- MODEL statement (TRANSREG) "MODEL Statement"
-
LRCHI option
- EXACT statement (FREQ)
- OUTPUT statement (FREQ) "Example 28.5: Creating an Output Data Set Containing Chi-Square Statistics"
- OUTPUT statement (FREQ) "OUTPUT Statement"
-
LRCI option
- MODEL statement (GENMOD)
-
lsd (least significant differences)
- LATTICE procedure
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LSD option
- MEANS statement (ANOVA)
- MEANS statement (GLM)
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LSD test
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LSMEANS statement
- GLM procedure
- MIXED procedure
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LSPRECISION= option
- NLOPTIONS statement (CALIS)
- PROC CALIS statement
- PROC NLMIXED statement
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LVREF= option
- PLOT statement (BOXPLOT)
- PLOT statement (REG)
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