Outliers in Time Series
Auteur : J. Peter Burman, Mark C. Otto
Date de publication : 1988
Éditeur : U.S. Bureau of the Census
Nombre de pages : Non disponible
Résumé du livre
This paper discusses the effects of outliers on short-term forecasting errors and on autoregressive-integrated moving-average (ARIMA) model characteristics such as the Ljung-Box statistics and estimates of the seasonal moving- average parameter. Sixty Census Bureau monthly times series have been fitted with the ARIMA models, identified additive point outliers, and sought their external causes.