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Parameter Covariance For GCE-M
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The ENTROPY Procedure (Experimental)

  • Overview
  • Getting Started Getting Started
    Simple Regression Analysis Using Prior Information Pure Inverse Problems Analyzing Multinomial Response Data
  • Syntax Procedure Syntax
    Functional Summary PROC ENTROPY Statement BOUNDS Statement BY Statement ID Statement MODEL Statement PRIORS Statement RESTRICT Statement TEST Statement WEIGHT Statement
  • Details Procedure Details
    Generalized Maximum Entropy Generalized Cross Entropy Moment Generalized Maximum Entropy Maximum Entropy-Based Seemingly Unrelated Regression Generalized Maximum Entropy for Multinomial Discrete Choice Models Censored or Truncated Dependent Variables Information Measures Parameter Covariance For GCE Parameter Covariance For GCE-M Statistical Tests Missing Values Input Data Sets Output Data Sets ODS Table Names ODS Graphics
  • Examples Procedure Examples
    Nonnormal Error Estimation Unreplicated Factorial Experiments Censored Data Models in PROC ENTROPY Use of the PDATA= Option Illustration of ODS Graphics
  • References
 
Parameter Covariance For GCE-M

Golan, Judge, and Miller (1996) give the finite approximation to the asymptotic variance matrix of the moment formulation as:

     

where

     

and

     

Recall that in the moment formulation, is the support of , which implies that is a -dimensional variance matrix. and are both diagonal matrices with the form

     

and

     

Note: This procedure is experimental.

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