Identification of time series components using break for time series components (bftsc) and group for time series components (gftsc) techniques

Commonly in time series modelling, identifying the four time series components which are trend, seasonal, cyclical, and irregular is conducted manually using the time series plot. However, this manual identification approach requires tacit knowledge of the expert forecaster. Thus, an automated ident...

詳細記述

書誌詳細
第一著者: Oloruntoba, Ajare Emmanuel
フォーマット: 学位論文
言語:英語
出版事項: 2022
主題:
オンライン・アクセス:https://etd.uum.edu.my/10211/1/s901903_01.pdf
https://etd.uum.edu.my/10211/
Abstract Abstract here