التنبؤ بدرجات الحرارة العظمى في محافظة واسط باستخدام أنموذج ARX

Abstract EN

The researchers have great attention to the study of white noise tests, which consists of the white noise test to determine the significance of the self-correlation between the error limit series )εt) and the independence test، the correlation between the error limit series and the previous input series u(t) under the null hypothesis and the alternative hypothesis.

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Using the black box model, the ARX model, which is an important model that combines the time series method based on historical data and the regression method with explanatory variables.

The process of building the ARX model consists of several traditional stages, namely diagnosis, using a number of criteria, a final prediction error criterion (FPE) and estimation using ordinary least squares method (OLS).