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Time Series and Forecasting: An Applied Approach.by Bruce L. Bowerman; Richard T. O'Connell

โœ Scribed by Review by: Johannes Ledolter


Book ID
125236907
Publisher
American Statistical Association
Year
1981
Tongue
English
Weight
541 KB
Volume
76
Category
Article
ISSN
0162-1459

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Four options for modeling and forecasting time series data containing increasing seasonal variation are discussed, including data trans formations, double seasonal difference models and two kinds of transfer function-type ARIMA models employing seasonal dummy variables. An explanation is given for t