该文介绍了时间序列经典方法，ARMA,ARIMA,AR模型用于解决各种平稳预测问题，并且附上了相应的程序，方便读者运用-This paper introduces the classical time series methods, ARMA, ARIMA, AR model is used to solve a variety of stationary prediction problem, and attach the appropriate procedures to facilitat

一种基于加权隐马尔可夫的自回归状态预测模型-Based on weighted HMM state autoregression prediction model