Categorical Data Analysis Using a Skewed Weibull Regression Model
Copyright policy )Categorical Data Analysis Using a Skewed Weibull Regression Model
In this paper, we present a Weibull link (skewed) model for categorical response data arising from binomial as well as multinomial model. We show that, for such types of categorical data, the most commonly used models (logit, probit and complementary log–log) can be obtained as limiting cases. We further compare the proposed model with some other asymmetrical models. The Bayesian as well as frequentist estimation procedures for binomial and multinomial data responses are presented in detail. The analysis of two datasets to show the efficiency of the proposed model is performed.
- Florida Southern College United States
- UNIVERSIDADE DE SAO PAULO Brazil
- University of Florida United States
- University of Connecticut United States
- University of Connecticut United States
asymmetric model; binomial response; multinomial response; skewed link; Weibull distribution, FOS: Computer and information sciences, binomial response, Science, Physics, QC1-999, Q, skewed link, Astrophysics, Article, QB460-466, Methodology (stat.ME), asymmetric model, multinomial response, Weibull distribution, Statistics - Methodology
asymmetric model; binomial response; multinomial response; skewed link; Weibull distribution, FOS: Computer and information sciences, binomial response, Science, Physics, QC1-999, Q, skewed link, Astrophysics, Article, QB460-466, Methodology (stat.ME), asymmetric model, multinomial response, Weibull distribution, Statistics - Methodology
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