ESTIMATE Statement |
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 66.4 summarizes important options in the ESTIMATE statement. If the BAYES statement is specified, the ADJUST=, STEPDOWN, TESTVALUE, LOWER, UPPER, and JOINT options are ignored. The PLOTS= option is not available for the maximum likelihood anaysis. It is available only for the Bayesian analysis.
Option |
Description |
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Construction and Computation of Estimable Functions |
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Specifies a list of values to divide the coefficients |
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Suppresses the automatic fill-in of coefficients for higher-order effects |
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Tunes the estimability checking difference |
|
Degrees of Freedom and p-values |
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Determines the method for multiple comparison adjustment of estimates |
|
Determines the confidence level () |
|
Performs one-sided, lower-tailed inference |
|
Adjusts multiplicity-corrected p-values further in a step-down fashion |
|
Specifies values under the null hypothesis for tests |
|
Performs one-sided, upper-tailed inference |
|
Statistical Output |
|
Constructs confidence limits |
|
Displays the correlation matrix of estimates |
|
Displays the covariance matrix of estimates |
|
Prints the matrix |
|
Produces a joint or chi-square test for the estimable functions |
|
Requests ODS statistical graphics if the analysis is sampling-based |
|
Specifies the seed for computations that depend on random numbers |
For details about the syntax of the ESTIMATE statement, see the section ESTIMATE Statement of Chapter 19, Shared Concepts and Topics.