Fitting a Multisource Regression Model with Random Slopes, a Fisheries Application of SASTM PROC MIXED
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چکیده
The application of mixed effects linear models continues to grow and the available software is advancing with the methodology. When covariate measurements are made at randomly sampled units: random coefficient models are quite natural for describing the relationship between the response and the predictors. In this very general paper, fitting a multisource regression model in SAS is reviewed. The options available in PROC MIXED are presented, illustrated. and discussed through a coastal fisheries application.
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تاریخ انتشار 1999