Multivariate binary data arise in a variety of settings. In this article we propose a practical and efficient computational framework for maximum likelihood estimation of multivariate probit ...
While higher education researchers have long been concerned with the development and application of methods to adequately assess the impact of college on students, strong advances in statistical ...
The GLM procedure fits general linear models to data, and it can perform regression, analysis of variance, analysis of covariance, and many other analyses. The following features for regression ...
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