The RELIABILITY Procedure
- Overview
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Getting Started
Analysis of Right-Censored Data from a Single PopulationWeibull Analysis Comparing Groups of DataAnalysis of Accelerated Life Test DataWeibull Analysis of Interval Data with Common Inspection ScheduleLognormal Analysis with Arbitrary CensoringRegression ModelingRegression Model with Nonconstant ScaleRegression Model with Two Independent VariablesWeibull Probability Plot for Two Combined Failure ModesAnalysis of Recurrence Data on RepairsComparison of Two Samples of Repair DataAnalysis of Interval Age Recurrence DataAnalysis of Binomial DataThree-Parameter WeibullParametric Model for Recurrent Events DataParametric Model for Interval Recurrent Events Data -
SyntaxPrimary StatementsSecondary StatementsGraphical Enhancement StatementsPROC RELIABILITY StatementANALYZE StatementBY StatementCLASS StatementDISTRIBUTION StatementEFFECTPLOT StatementESTIMATE StatementFMODE StatementFREQ StatementINSET StatementLOGSCALE StatementLSMEANS StatementLSMESTIMATE StatementMAKE StatementMCFPLOT StatementMODEL StatementNENTER StatementNLOPTIONS StatementPROBPLOT StatementRELATIONPLOT StatementSLICE StatementSTORE StatementTEST StatementUNITID Statement
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DetailsAbbreviations and NotationTypes of Lifetime DataProbability DistributionsProbability PlottingNonparametric Confidence Intervals for Cumulative Failure ProbabilitiesParameter Estimation and Confidence IntervalsRegression Model Statistics Computed for Each Observation for Lifetime DataRegression Model Statistics Computed for Each Observation for Recurrent Events DataRecurrence Data from Repairable SystemsODS Table NamesODS Graphics
- References
ESTIMATE Statement
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ESTIMATE <'label'> estimate-specification <(divisor=n)><, …<'label'> estimate-specification <(divisor=n)>></ options>;
The ESTIMATE statement provides a mechanism for obtaining custom hypothesis tests. Estimates are formed as linear estimable
functions of the form 
. You can perform hypothesis tests for the estimable functions, construct confidence limits, and obtain specific nonlinear
transformations.
Table 17.9 summarizes the options available in the ESTIMATE statement.
Table 17.9: ESTIMATE Statement Options
|
Option |
Description |
|---|---|
|
Construction and Computation of Estimable Functions |
|
|
DIVISOR= |
Specifies a list of values to divide the coefficients |
|
NOFILL |
Suppresses the automatic fill-in of coefficients for higher-order effects |
|
SINGULAR= |
Tunes the estimability checking difference |
|
Degrees of Freedom and p-values |
|
|
ADJUST= |
Determines the method for multiple comparison adjustment of estimates |
|
ALPHA=
|
Determines the confidence level ( |
|
LOWER |
Performs one-sided, lower-tailed inference |
|
STEPDOWN |
Adjusts multiplicity-corrected p-values further in a step-down fashion |
|
TESTVALUE= |
Specifies values under the null hypothesis for tests |
|
UPPER |
Performs one-sided, upper-tailed inference |
|
Statistical Output |
|
|
CL |
Constructs confidence limits |
|
CORR |
Displays the correlation matrix of estimates |
|
COV |
Displays the covariance matrix of estimates |
|
E |
Prints the |
|
JOINT |
Produces a joint F or chi-square test for the estimable functions |
|
PLOTS= |
Requests ODS statistical graphics if the analysis is sampling-based |
|
SEED= |
Specifies the seed for computations that depend on random numbers |
|
Generalized Linear Modeling |
|
|
CATEGORY= |
Specifies how to construct estimable functions with multinomial data |
|
EXP |
Exponentiates and displays estimates |
|
ILINK |
Computes and displays estimates and standard errors on the inverse linked scale |
For details about the syntax of the ESTIMATE statement, see the section ESTIMATE Statement in SAS/STAT 14.1 User's Guide in Chapter 19: Shared Concepts and Topics in SAS/STAT 14.1 User's Guide.