COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, vol.35, no.8, pp.1429-1447, 2006 (SCI-Expanded)
Article / Article
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS
Science Citation Index Expanded (SCI-EXPANDED), Scopus
binary data, logistic regression, modified maximum likelihood, non-normality, order statistics, stochastic covariate, MAXIMUM-LIKELIHOOD, NONNORMAL REGRESSION, DISTRIBUTIONS, PARAMETERS, MODELS
Middle East Technical University Affiliated:
In binary regression the risk factor X has been treated in the literature as a non-stochastic variable. In most situations, however, X is stochastic. We present solutions applicable to such situations. We show that our solutions are more precise than those obtained by treating X as non-stochastic when, in fact, it is stochastic.