搜索资源列表
ARIMA
- ARM 用于数学建模的时间序列 预测问题 -ARM used for mathematical modeling time series prediction problem
ARIMA
- ARIMA模型在数学建模中的使用。具有很好的预测效果。可以一试。-ARIMA model is the use of mathematical modeling. Has a good prediction. Can try.
application_of_ARIMA
- 该代码是MATLAB写成的m文件及GUI文件，附带实例数据，用于ARIMA预测模型的应用及对该模型的研究-The code is written in MATLAB m-files and GUI files, with the instance data, research and application of the model of ARIMA forecasting model for
spark-timeSeries
- 采用ARIMA模型（自回归积分滑动平均模型）+三次指数平滑法(Holt-Winters)，用scala语言实现的在spark平台运行的分布式时间序列预测算法(Using the ARIMA model (autoregressive integral moving average model) + Holt-Winters (Holt-Winters), using scala language to achieve the spark platform to run the distribut
Time_Series_Analysis
- ARIMA算法的Python实现，预测时间序列数据。 附两个数据： AirPassengers UK Traffic flow(The Python implementation of the ARIMA algorithm predicts the time series data. Two data are attached. AirPassengers UK Traffic flow)
arima
- arima - （平稳性检验）根据时间序列的散点图、自相关系数和偏自相关系数、单位根检验(ADF)，来判断数据的平稳性； - （平稳化处理）对非平稳的时间序列数据进行差分处理，得到差分阶数d； - （白噪声检测）为了验证序列中有用的信息是否已被提取完毕，如果为白噪声序列，(arima arima -(Stableness test) According to the time series of scatter plots, autocorrelation coefficients and