Application of Markov Chain in Market Shares Prediction-Case Study from Fresh Dairy Products in Nanjing Market

摘要：

Firstly, this paper introduces the basic principle of Markov chain. Secondly, in studying a case, the market shares have been analyzed and predicted. In the end, transition probability matrix has been applied to make decision. This method provides scientific basis and is more important for enterprises.

关键词： Prediction Market Shares Transition Probability Matriz Markov Chain

作者: YANG Liuying CHENG Longsheng

作者单位: School of Economics & Management Nanjing University of Science and Technology, P.R.China, 210094

会议类型: 国际会议

会议名称: 2008年国际应用统计学术研讨会(2008 International Institute of Applied Statistics Studies)

会议地点: 烟台

会议语种:英文

页码: 1-6

在线出版日期: 2008-08-14（万方平台首次上网日期，不代表论文的发表时间）