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      Categorical data analysis using a skewed Weibull regression model

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          Abstract

          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 details. The analysis of two data sets to show the efficiency of the proposed model is performed.

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          Journal
          15 November 2017
          Article
          1711.05863
          90441b08-44a7-44eb-8496-bb28e130dc4b

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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