Mixed logit (MXL) is a general discrete choice model thus far unexamined in the study of multicandidate and multiparty elections. Mixed logit assumes that the unobserved portions of utility are a ...

The authors compare the application of two logit models for the analysis of qualitative marketing data. A weighted least squares logit model is compared with a maximum likelihood logit model different ...

At last! A comprehensive, applications-oriented mixed models guide for data analysis. Discover the latest capabilities available for a wide range of applications featuring the MIXED procedure in ...

In general, PROC MIXED is recommended for nearly all of your linear mixed-model applications. PROC NLMIXED handles models in which the fixed or random effects enter nonlinearly. It requires that you ...