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  <title>Forecasting with dynamic regression models</title>
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 <name type="Personal Name" authority="">
  <namePart>Pankratz, Alan</namePart>
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   <placeTerm type="text">New York</placeTerm>
   <publisher>Wiley-Interscience</publisher>
   <dateIssued>1991</dateIssued>
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  <languageTerm type="code">en</languageTerm>
  <languageTerm type="text">English</languageTerm>
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  <extent>xii, 386 p., : tabs., refs., index ; 24 cm.</extent>
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 <note>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. (text from the publisher)</note>
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 <subject authority="">
  <topic>Statistics</topic>
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 <subject authority="">
  <topic>Regression analysis</topic>
 </subject>
 <classification>ULB/UHB 79</classification>
 <identifier type="isbn">0471615285</identifier>
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  <physicalLocation>Perpustakaan - Sekolah Tinggi Manajemen PPM Pusat Informasi Manajemen</physicalLocation>
  <shelfLocator>ULB/UHB 79 Pan</shelfLocator>
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