Journal of Modern Applied Statistical Methods Volume 10 | Issue 2 Article 12 11-1-2011 Higher Order Markov Structure-Based Logistic Model and Likelihood Inference for Ordinal Data Soma Chowdhury Biswas University of Chittagong, Chittagong, Bangladesh,
[email protected] M. Ataharul Islam University of Dhaka, Bangladesh,
[email protected] Jamal Nazrul Islam University of Chittagong, Chittagong, Bangladesh,
[email protected] Follow this and additional works at: http://digitalcommons.wayne.edu/jmasm Part of the Applied Statistics Commons, Social and Behavioral Sciences Commons, and the Statistical Theory Commons Recommended Citation Biswas, Soma Chowdhury; Islam, M. Ataharul; and Islam, Jamal Nazrul (2011) "Higher Order Markov Structure-Based Logistic Model and Likelihood Inference for Ordinal Data," Journal of Modern Applied Statistical Methods: Vol. 10 : Iss. 2 , Article 12. DOI: 10.22237/jmasm/1320120660 Available at: http://digitalcommons.wayne.edu/jmasm/vol10/iss2/12 This Regular Article is brought to you for free and open access by the Open Access Journals at DigitalCommons@WayneState. It has been accepted for inclusion in Journal of Modern Applied Statistical Methods by an authorized editor of DigitalCommons@WayneState. Journal of Modern Applied Statistical Methods Copyright © 2011 JMASM, Inc. November 2011, Vol. 10, No. 2, 528-538 1538 – 9472/11/$95.00 Higher Order Markov Structure-Based Logistic Model and Likelihood Inference for Ordinal Data Soma Chowdhury Biswas M. Ataharul Islam Jamal Nazrul Islam University of Chittagong, University of Dhaka, University of Chittagong, Chittagong, Bangladesh Dhaka, Bangladesh Chittagong, Bangladesh Azzalini (1994) proposed a first order Markov chain for binary data. Azzalini’s model is extended for ordinal data and introduces a second order model.