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Forecasting with Dynamic Regression Models
by Alan Pankratz


Overview -

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.  Read more...


 
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Language: English

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More About Forecasting with Dynamic Regression Models by Alan Pankratz
 
 
 
Overview

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 item is Non-Returnable.

 
Details
  • ISBN: 9781118150788
  • Publisher: Wiley
  • Imprint: Wiley-Interscience
  • Date: Jan 2012
 
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