The TCOUNTREG Procedure (Experimental)
- Overview
- Getting Started
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Syntax
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Details
Specification of Regressors Missing Values Poisson Regression Negative Binomial Regression Zero-Inflated Count Regression Overview Zero-Inflated Poisson Regression Zero-Inflated Negative Binomial Regression Variable Selection Panel Data Analysis Computational Resources Nonlinear Optimization Options Covariance Matrix Types Displayed Output OUTPUT OUT= Data Set OUTEST= Data Set ODS Table Names
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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. 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 (/).
are normalized by multiplying them by 
, where 
is the sample size. If the weights are required to be used as is, then specify the NONORMALIZE option. Note: This procedure is experimental.