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Forecasting with Univariate Box-Jenkins Models
Alan Pankratz
€ 312.53
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Description for Forecasting with Univariate Box-Jenkins Models
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. 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.
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.
Product Details
Format
Hardback
Publication date
1983
Publisher
John Wiley and Sons Ltd United States
Number of pages
576
Condition
New
Series
Wiley Series in Probability and Statistics
Number of Pages
576
Place of Publication
New York, United States
ISBN
9780471090236
SKU
V9780471090236
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Alan Pankratz
Alan Pankratz is the author of Forecasting with Univariate Box - Jenkins Models: Concepts and Cases, published by Wiley.
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