The ENTROPY Procedure (Experimental)
- Overview
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Getting Started
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Syntax
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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
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Examples
- References
| WEIGHT Statement |
The WEIGHT statement specifies a variable to supply weighting values to use for each observation in estimating parameters.
If the weight of an observation is nonpositive, that observation is not used for the estimation. Variable must be a numeric variable in the input data set. The regressors and the dependent variables are multiplied by the square root of the weight variable to form the weighted 
matrix and the weighted dependent variable. The same weight is used for all MODEL statements.
Note: This procedure is experimental.