Hardcover. Explains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another. Explains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliografische Details

Titel: Forecasting with Univariate Box - Jenkins Models (Hardcover)
Verlag: John Wiley & Sons Inc, New York
Erscheinungsjahr: 1983
Sprache: Englisch
ISBN-10: 0471090239
ISBN-13: 9780471090236
Einband: Hardcover
Auflage: 1. Auflage
Zustand: new

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Explains the concepts and use of univariate Box-Jenkins/ARIMA analysis and forecasting through 15 case studies. Cases show how to build good ARIMA models in a step-by-step manner using real data. Also includes examples of model misspecification. Provides guidance to alternative models and discusses reasons for choosing one over another.

�ber die Autorin bzw. den Autor

Alan Pankratz is the author of Forecasting with Univariate Box - Jenkins Models: Concepts and Cases, published by Wiley.

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