The BGLIMM Procedure

The WEIGHT statement identifies a variable in the input data set to provide a value to rescale each observation in a data set: the scale parameter is replaced with in the density, where is the weight associated with the observation . When there is not a scale parameter in the response distribution, behaves the same as the frequency by treating an observation as if it appears times.

Observations that have relatively large weights have more influence in the analysis than observations that have smaller weights. An unweighted analysis is the same as a weighted analysis in which all weights are 1.

Observations with nonpositive or missing weights are not used in the analysis. If a WEIGHT statement is not included, all observations included in the analysis are assigned a weight of 1. The WEIGHT variable does not have to be an integer; it can have decimals.