A New Estimation Method for Multivariate Markov Chain Model with Application in Demand Predictions
In this paper,we propose a new estimation method for the parameters of a multivariate Markov chain model. In the new method,we calculate the correlations of the sequences first and establish multivariate Markov chain models for those positively correlated sequences. The parameters are estimated by minimizing the error of prediction. We apply the method to demand predictions for a soft-drink company in Hong Kong. Numerical experiments are given to show the effectiveness of our proposed method.
Multivariate Markov Chain Model Demand Prediction
Dong-Mei Zhu Wai-Ki Ching
Advanced Modeling and Applied Computing Laboratory Department of Mathematics The University of Hong Kong Pokfulam Road,Hong Kong
国际会议
香港
英文
126-130
2010-08-17（万方平台首次上网日期，不代表论文的发表时间）