Forecasting with Univariate Box-Jenkins Models
Alan Pankratz
ISBN 10: 0471090239 ISBN 13: 9780471090236
Editore: John Wiley and Sons Ltd, 1983
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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. Series: Wiley Series in Probability and Statistics. Num Pages: 576 pages, illustrations, index. BIC Classification: PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 163 x 42. Weight in Grams: 1044. . 1983. 1st Edition. Hardcover. . . . . Codice articolo V9780471090236
Riassunto:
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.
Informazioni sull?autore:
Alan Pankratz is the author of Forecasting with Univariate Box - Jenkins Models: Concepts and Cases, published by Wiley.
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Titolo: Forecasting with Univariate Box-Jenkins ...
Casa editrice: John Wiley and Sons Ltd
Data di pubblicazione: 1983
Legatura: Rilegato
Condizione: New
Edizione: prima edizione
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Forecasting with Univariate Box - Jenkins Models (Hardcover)
Editore:
John Wiley & Sons Inc, New York, 1983
ISBN 10: 0471090239
ISBN 13: 9780471090236
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Da: CitiRetail, Stevenage, Regno Unito
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Hardcover. Condizione: new. 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780471090236
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Forecasting with Univariate Box - Jenkins Models (Hardcover)
Editore:
John Wiley & Sons Inc, New York, 1983
ISBN 10: 0471090239
ISBN 13: 9780471090236
Nuovo
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Prima edizione
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. 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. Codice articolo 9780471090236
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Foto dell'editore
Forecasting with Univariate Box - Jenkins Models (Hardcover)
Editore:
John Wiley & Sons Inc, New York, 1983
ISBN 10: 0471090239
ISBN 13: 9780471090236
Nuovo
Rilegato
Prima edizione
Da: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
Hardcover. Condizione: new. 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Codice articolo 9780471090236
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