用于时间序列的预测，包含序列特征描述、平稳性检验、序列周期判断、季节因子提取、指数平滑预测、及ARIMA预测-Sequence features for time series prediction, including the descr iption of the stationary test, to determine the sequence cycle, seasonal factor extraction, exponential smoothing, and ARIMA fore

arima时间序列模型，对一个序列进行也测-arima time series models, also measured on a sequence

基于R语言的ARIMA模型构建和测试，用于初学者学习时间序列分析。-ARIMA model based on R programming language for time series analysis

spark 实现的时间序列算法，包括ARIMA等(spark time-series,including ARIMA etc.)