Haywood, John and Tunnicliffe Wilson, Granville (2000) Selection and estimation of component models for seasonal time series. Journal of Forecasting, 19 (5). pp. 393-417. ISSN 0277-6693
Full text not available from this repository.Abstract
We present a method for investigating the evolution of trend and seasonality in an observed time series. A general model is fitted to a residual spectrum, using components to represent the seasonality. We show graphically how well the fitted spectrum captures the evidence for evolving seasonality associated with the different seasonal frequencies. We apply the method to model two time series and illustrate the resulting forecasts and seasonal adjustment for one series.
Item Type:
Journal Article
Journal or Publication Title:
Journal of Forecasting
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2600/2611
Subjects:
?? seasonal time seriesevolving seasonalityspectrum componentsfrequency domain estimationmodelling and simulationstrategy and managementmanagement science and operations researchstatistics, probability and uncertaintycomputer science applicationsqa mathemati ??
Departments:
ID Code:
19345
Deposited By:
Deposited On:
17 Nov 2008 16:04
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 09:42