Constant vs. Changing Seasonality
Philip Franses discusses the problem of allowing seasonal patterns to change over time. He notes that most standard models presume a constant seasonal pattern; however, his preference is to use models that allow the seasonal pattern to evolve over time, such as periodic models and time-dependent parameter models. Such models, however, can substantially increase sample size requirements. Copyright International Institute of Forecasters, 2007
Year of publication: |
2007
|
---|---|
Authors: | Franses, Philip Hans |
Published in: |
Foresight: The International Journal of Applied Forecasting. - International Institute of Forecasters - IIF. - 2007, 6, p. 24-25
|
Publisher: |
International Institute of Forecasters - IIF |
Saved in:
Saved in favorites
Similar items by person
-
Time series models for business and economic forecasting
Franses, Philip Hans, (1998)
-
A vector of quarters representation for bivariate time series
Franses, Philip Hans, (1991)
-
A model selection procedure for time series with seasonality
Franses, Philip Hans, (1991)
- More ...