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 ...

STUART P. HARDEGREE, ADAM H. WINSTRAL, Predicting Germination Response to Temperature. II. Three-dimensional Regression, Statistical Gridding and Iterative-probit Optimization Using Measured and ...

In addition, PROC GLM allows only one model and fits the full model. See Chapter 4, "Introduction to Analysis-of-Variance Procedures," and Chapter 30, "The GLM Procedure," for more details. The CATMOD ...

Example 45.3: Probit Model with Likelihood function The data, taken from Lee (1974), consist of patient characteristics and a variable indicating whether cancer remission occured.