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Mathematical Problems in Engineering
Volume 2014, Article ID 502808, 8 pages
Research Article

A New Multivariate Markov Chain Model for Adding a New Categorical Data Sequence

1School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
2Advanced Modeling and Applied Computing Laboratory, Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong

Received 10 July 2013; Revised 26 January 2014; Accepted 10 February 2014; Published 23 March 2014

Academic Editor: Andrzej Swierniak

Copyright © 2014 Chao Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


We propose a new multivariate Markov chain model for adding a new categorical data sequence. The number of the parameters in the new multivariate Markov chain model is only (3s) less than the number of the parameters in the former multivariate Markov chain model. Numerical experiments demonstrate the benefits of the new multivariate Markov chain model on saving computational resources.