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  <titleInfo>
    <title>Regression analysis: statistical modeling of a response variable</title>
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  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">xxu</placeTerm>
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    <place>
      <placeTerm type="text">London</placeTerm>
    </place>
    <publisher>Elsevier</publisher>
    <dateIssued>2006</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xix, 459 p.: ill.;</extent>
  </physicalDescription>
  <tableOfContents>Contents: 
Part 1 The Basics: the analysis of means -- Simple linear regression -- Multiple linear regression -- 
Part 2 Problems and remedies: Problems with observations -- Multicollinearity -- Problems with the model -- 
Part 3 Additional uses of regression: Curve fitting -- Introduction to nonlinear models -- Indicator variables -- Categorical response variables -- Generalized linear models -- 
Appendix: Statistical tables</tableOfContents>
  <note type="statement of responsibility">Rudolf J. Freund, William J. Wilson, Ping Sa</note>
  <note>Includes appendix, bibliographical references, and index.</note>
  <subject>
    <topic>Regression analysis</topic>
  </subject>
  <classification authority="lcc">QA278.2.F88</classification>
  <identifier type="isbn">9780120885978</identifier>
  <identifier type="isbn">0120885972</identifier>
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