In the study we model and forecast South African airline passengers, using yearly time series data from 1970 to 2019. Box-Jenkins ARIMA methodology is used to forecast airline passenger data for the next five years (2020–2024). The raw data used was not stationary and as a result, was differenced once to make it stationary. In this study, an ARIMA (3,1,2) model was proposed. In addition, diagnostic tests demonstrated that the proposed model is, in fact, adequate and could be utilised to make predictions on the number of passengers for the South African airline from 2020 to 2024.


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    Titel :

    Modelling and Forecasting South African Airline Passengers Using ARIMA


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Vasant, Pandian (Herausgeber:in) / Shamsul Arefin, Mohammad (Herausgeber:in) / Panchenko, Vladimir (Herausgeber:in) / Thomas, J. Joshua (Herausgeber:in) / Munapo, Elias (Herausgeber:in) / Weber, Gerhard-Wilhelm (Herausgeber:in) / Rodriguez-Aguilar, Roman (Herausgeber:in) / Maruping, Thato Theo (Autor:in) / Seaketso, Phemelo (Autor:in) / Mdlongwa, Precious (Autor:in)

    Kongress:

    International Conference on Intelligent Computing & Optimization ; 2023 ; Hua Hin, Thailand April 27, 2023 - April 28, 2023



    Erscheinungsdatum :

    2023-12-15


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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