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Using the ARIMA Model Specification window, you can specify autoregressive (p), differencing (d), and moving average (q) orders for both simple and seasonal factors. You can specify transformations ...
The ARIMA procedure provides the identification, parameter estimation, and forecasting of autoregressive integrated moving average (Box-Jenkins) models, seasonal ARIMA models, transfer function models ...
Dehe Xu, Qi Zhang, Yan Ding, Huiping Huang, Application of a Hybrid ARIMA–SVR Model Based on the SPI for the Forecast of Drought—A Case Study in Henan Province, China, Journal of Applied Meteorology ...
A procedure is presented to facilitate the use of a bivariate time series model for forecasting hog prices. Detection of causality from the innovations of an ARIMA-filtered sows farrowing series to ...
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