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  <titleInfo>
    <title>Handbook of regression analysis</title>
  </titleInfo>
  <name type="personal">
    <namePart>Chatterjee, Samprit</namePart>
    <namePart type="date">1938-</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <name type="personal">
    <namePart>Simonoff, Jeffrey S.</namePart>
  </name>
  <name type="corporate">
    <namePart>ebrary, Inc</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <genre authority="local">Electronic books.</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nju</placeTerm>
    </place>
    <place>
      <placeTerm type="text">Hoboken, New Jersey</placeTerm>
    </place>
    <publisher>Wiley</publisher>
    <dateIssued>c2013</dateIssued>
    <dateIssued encoding="marc">2013</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <form authority="gmd">electronic resource</form>
    <extent>xiv, 236 p. : ill.</extent>
  </physicalDescription>
  <abstract>"Written by an established expert in the field, the purpose of this handbook is to provide a practical, one-stop reference on regression analysis. The focus is on the tools that both practitioners and researchers use in real life. It is intended to be a comprehensive collection of the theory, methods, and applications of the subject matter, but it is deliberately written at an accessible level. The handbook will provide a quick and convenient reference or "refresher" on ideas and methods that are useful for the accurate analysis of data and its resulting interpretations. Students can use the book as an introduction to and/or summary of key concepts in regression and related course work (such as linear, nonlinear, and nonparametric regressions). Plentiful references are supplied for the more motivated readers. Theory is presented when necessary, and always supplemented by hands-on examples. Software routines are available via an author-maintained web site"--</abstract>
  <tableOfContents>pt. 1. The multiple linear regression model -- pt. 2. Addressing violations of assumptions -- pt. 3. Categorical predictors -- pt. 4. Other regression models.</tableOfContents>
  <note type="statement of responsibility">Samprit Chatterjee, Jeffrey S. Simonoff.</note>
  <note>Includes bibliographical references (p. 227-230) and index.</note>
  <note>Electronic reproduction. Palo Alto, Calif. : ebrary, 2015. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.</note>
  <subject authority="lcsh">
    <topic>Regression analysis</topic>
    <topic>Handbooks, manuals, etc</topic>
  </subject>
  <classification authority="lcc">QA278.2 .C498 2013eb</classification>
  <classification authority="ddc" edition="23">519.5/36</classification>
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