Hardcover. One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier work, Forecasting with Univariate Box-Jenkins Models: Concepts and Cases, the present text pulls together recent time series ideas and gives special attention to possible intertemporal patterns, distributed lag responses of output to input series and the auto correlation patterns of regression disturbance. It also includes six case studies. This study presents the concepts and practice of interpreting single equation dynamic regression models. Emphasis is placed on possible dynamic patterns, such as distributed lag responses of the output series to the input series and the auto-correlation patterns of the regression disturbance. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Codice articolo 9780471615286

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Titolo: Forecasting with Dynamic Regression Models (Hardcover)
Editore: John Wiley & Sons Inc, New York
Data di pubblicazione: 1991
Lingua: Inglese
ISBN 10: 0471615285
ISBN 13: 9780471615286
Rilegatura: Hardcover
Edizione: prima edizione
Condizione: new

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Riassunto

One of the most widely used tools in statistical forecasting, single equation regression models is examined here. A companion to the author's earlier work, Forecasting with Univariate Box-Jenkins Models: Concepts and Cases, the present text pulls together recent time series ideas and gives special attention to possible intertemporal patterns, distributed lag responses of output to input series and the auto correlation patterns of regression disturbance. It also includes six case studies.

Informazioni sull?autore

Alan Pankratz is the author of Forecasting with Dynamic Regression Models, published by Wiley.

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