A New Improved Parsimonious Multivariate Markov Chain Model

Joint Authors

Huang, Ting-Zhu
Wang, Chao

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

Mathematics

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