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Generalised estimators for seasonal forecasting by combining grouping and shrinkage approaches

Zhang, K, Chen, H, Boylan, J and Scarf, PA 2011, 'Generalised estimators for seasonal forecasting by combining grouping and shrinkage approaches' , Journal of Forecasting . (In Press)

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        Abstract

        In this paper, generalised estimators are proposed to estimate seasonal indices for certain forms of additive and mixed seasonality. The estimators combine one of two group seasonal indices methods, Dalhart’s group method and Withycombe’s group method, with a shrinkage method in different ways. Optimal shrinkage parameters are derived to maximise the performance of the estimators. Then, the generalised estimators, with the optimal shrinkage parameters, are evaluated based on forecasting accuracy. Moreover, the effects of three factors are examined, namely, the length of data history, variance of random components and the number of series. Finally, a simulation experiment is conducted to support the evaluation.

        Item Type: Article
        Themes: Media, Digital Technology and the Creative Economy
        Schools: Colleges and Schools > College of Business & Law > Salford Business School > Operations and Global Logistics Management
        Journal or Publication Title: Journal of Forecasting
        Publisher: John Wiley & Sons
        Refereed: Yes
        ISSN: 0277-6693
        Depositing User: H Chen
        Date Deposited: 08 Nov 2011 10:38
        Last Modified: 20 Aug 2013 18:17
        URI: http://usir.salford.ac.uk/id/eprint/18904

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