Markov Chain Model For the Structure of the Traditional Publishing Industry in China
- DOI
- 10.2991/icetms.2013.359How to use a DOI?
- Keywords
- traditional publishing industry; OLS estimation; Markov Chain; the quadratic programming model; transition probability matrix
- Abstract
In order to analyze the structural change of the traditional publishing industry in China, the prediction technique of Markov Chain is applied to conduct research on the prediction problem of the structure of the traditional publishing industry China, and the estimation model of Markov matrix of state transition probability is provided as well. The conclusion shows that the prediction accuracy of the prediction technique is quite high after the error of simulated result has been tested. The prediction technique is applied to forecast the structure of the traditional publishing industry in China from 2012 to 2016. The application of Markov Chain prediction model in forecasting the structural change trend of the traditional publishing industry in China has greatly expanded the fields where the prediction technique of Markov Chain can be put into practice, and the data about the structural transition of the traditional publishing industry in China can hopefully offer a new perspective on looking into and solving issues to ensure the healthy and sound development of China’s changing publishing industry.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Eryan Zhang AU - Xiaofeng Zhu PY - 2013/06 DA - 2013/06 TI - Markov Chain Model For the Structure of the Traditional Publishing Industry in China BT - Proceedings of the 2013 Conference on Education Technology and Management Science (ICETMS 2013) PB - Atlantis Press SP - 1338 EP - 1341 SN - 1951-6851 UR - https://doi.org/10.2991/icetms.2013.359 DO - 10.2991/icetms.2013.359 ID - Zhang2013/06 ER -