Accession Number : ADP007136
Title : Model Checking for Logistic Regression: A Conditional Approach,
Corporate Author : NEW MEXICO UNIV ALBUQUERQUE DEPT OF MATHEMATICS AND STATISTICS
Personal Author(s) : Bedrick, Edward J. ; Hill, Joe R.
Report Date : 1992
Pagination or Media Count : 7
Abstract : We review the use of exact methods for checking logistic regression models. We focus on global model checks, outlier detection, and goodness-of-link checks. We discuss approximations to exact conditional methods whenever available. We also contrast exact conditional methods and standard unconditional methods based on asymptotic approximations. The techniques are applied to two examples.
Descriptors : *LOGISTICS, *STATISTICS, CONTRAST, DETECTION, GLOBAL, MODELS, STANDARDS.
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE