The Impact of Different Integration Methods on Using Hybrid Models in Forecasting Time Series

This study evaluated the impact of different integration methods when using hybrid models for time series forecasting, employing monthly global oil price data from January 2004 to December 2023. The research included individual models of Autoregressive Integrated Moving Average (ARIMA) and Support V...

Ausführliche Beschreibung

Bibliografische Detailangaben

1. Verfasser:	Abdelreheem Bassuny
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Cairo University, Faculty of Graduate Studies for Statistical Research (FGSSR) 2025-06-01
Schriftenreihe:	The Egyptian Statistical Journal
Schlagworte:	Time series forecasting Hybrid Model ARIMA SVR Integration methods
Online-Zugang:	https://esju.journals.ekb.eg/article_413248_2e74c08aa6b1f4dd06568925f47c1567.pdf
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