The HPCOUNTREG Procedure
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Overview
- Getting Started
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Syntax
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DetailsMissing ValuesPoisson RegressionConway-Maxwell-Poisson RegressionNegative Binomial RegressionZero-Inflated Count Regression OverviewZero-Inflated Poisson RegressionZero-Inflated Conway-Maxwell-Poisson RegressionZero-Inflated Negative Binomial RegressionParameter Naming Conventions for the RESTRICT, TEST, BOUNDS, and INIT StatementsComputational ResourcesCovariance Matrix TypesDisplayed OutputOUTPUT OUT= Data SetOUTEST= Data SetODS Table Names
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Examples
- References
WEIGHT Statement
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WEIGHT variable </ option>;
The WEIGHT statement specifies a variable to supply weighting values to use for each observation in estimating parameters. The log likelihood for each observation is multiplied by the corresponding weight variable value.
If the weight of an observation is nonpositive, that observation is not used in the estimation.
The following option can be added to the WEIGHT statement after a slash (/).
- NONORMALIZE
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does not normalize the weights. (By default, the weights are normalized so that they add up to the actual sample size. The weights
are normalized by multiplying them by 
, where n is the sample size.) If the weights are required to be used as they are, then specify the NONORMALIZE option.