Time Series Forecasting by using Box-Jenkins Method

Main Article Content

Sumittra Muangkhoua

Abstract

Time series forecasting by Box-Jenkins method using ARIMA model is a highly accurate forecasting method. Because of need to stationary properties checking of the time series from autocorrelation function (ACF) and partial autocorrelation function (PACF). To determine the forecasting models, parameter estimation and select the appropriate model for time series forecasting in the future to result in the forecast least errors.

Article Details

How to Cite
Muangkhoua, S. (2019). Time Series Forecasting by using Box-Jenkins Method. Vajira Medical Journal : Journal of Urban Medicine, 63(Supplement), S185-S192. Retrieved from https://he02.tci-thaijo.org/index.php/VMED/article/view/204691
Section
Review Articles

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