Proposed linear and nonlinear regression models, which take into account the equation of trend and seasonality indices for the analysis and restore the volume of passenger traffic over the past period of time and its prediction for future years, as well as the algorithm of formation of these models based on statistical analysis over the years. The desired model is the first step for the synthesis of more complex models, which will enable forecasting of passenger (income level airline) with the highest accuracy and time urgency.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    AIRLINE ACTIVITY FORECASTING BY REGRESSION MODELS


    Beteiligte:


    Erscheinungsdatum :

    2012




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Forecasting for Airline Operational Planning

    Andersson, S.-E. / International Federation of Operational Research Societies; Airline Group | British Library Conference Proceedings | 1995



    Reservations forecasting in airline yield management

    Sa, Joao | DSpace@MIT | 1987

    Freier Zugriff