The ENTROPY Procedure (Experimental)
- Overview
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Getting Started
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Syntax
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DetailsGeneralized Maximum EntropyGeneralized Cross EntropyMoment Generalized Maximum EntropyMaximum Entropy-Based Seemingly Unrelated RegressionGeneralized Maximum Entropy for Multinomial Discrete Choice ModelsCensored or Truncated Dependent VariablesInformation MeasuresParameter Covariance For GCEParameter Covariance For GCE-MStatistical TestsMissing ValuesInput Data SetsOutput Data SetsODS Table NamesODS Graphics
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Examples
- References
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.