A New Improved Parsimonious Multivariate Markov Chain Model
Joint Authors
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-02-04
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
We present a new improved parsimonious multivariate Markov chain model.
Moreover, we find a new convergence condition with a new variability to improve the prediction accuracy and minimize the scale of the convergence condition.
Numerical experiments illustrate that the new improved parsimonious multivariate Markov chain model with the new convergence condition of the new variability performs better than the improved parsimonious multivariate Markov chain model in prediction.
American Psychological Association (APA)
Wang, Chao& Huang, Ting-Zhu. 2013. A New Improved Parsimonious Multivariate Markov Chain Model. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-506700
Modern Language Association (MLA)
Wang, Chao& Huang, Ting-Zhu. A New Improved Parsimonious Multivariate Markov Chain Model. Journal of Applied Mathematics No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-506700
American Medical Association (AMA)
Wang, Chao& Huang, Ting-Zhu. A New Improved Parsimonious Multivariate Markov Chain Model. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-506700
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506700