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  <titleInfo>
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    <title>handbook of statistical analyses using R</title>
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  <name type="personal">
    <namePart>Hothorn, Torsten</namePart>
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    <namePart>Everitt, Brian</namePart>
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  <genre authority="fast">Handbooks, manuals, etc.</genre>
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    <dateIssued encoding="marc">2014</dateIssued>
    <copyrightDate encoding="marc">2014</copyrightDate>
    <edition>Third edition.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <language>
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  <physicalDescription>
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    <extent>xxix, 421 pages : illustrations ; 24 cm</extent>
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  <tableOfContents>An introduction to R -- Data analysis using graphical displays -- Simple inference -- Conditional inference -- Analysis of variance -- Simple and multiple linear regression -- Logistic repression and generalised linear models -- Density estimation -- Recursive partitioning -- Scatterplot smoothers and addictive models -- Survival analysis -- Quantile regression -- Analyzing longitudinal data I -- Analyzing longitudinal data II -- Simultaneous inference and multiple comparisons -- Missing values -- Meta-analysis -- Bayesian interference -- Principal component analysis -- Multidimensional scaling -- Cluster analysis.</tableOfContents>
  <note type="statement of responsibility">Torsten Hothorn, Universität Zürich, Zürich, Switzerland, Brian S. Everitt, Professor Emeritus, King's College, London, UK.</note>
  <note>"A Chapman &amp; Hall book"--Cover.</note>
  <note>Previous editions cataloged under main entry for Brian S. Everitt.</note>
  <note>Includes bibliographical references (pages 399-414) and index.</note>
  <subject authority="lcsh">
    <topic>Mathematical statistics</topic>
    <topic>School of Pure and Applied Sciences</topic>
  </subject>
  <subject authority="lcsh">
    <topic>R (Computer program language)</topic>
    <topic>Handbooks, manuals, etc</topic>
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    <topic>Mathematical statistics</topic>
    <topic>Data processing</topic>
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  <subject authority="fast">
    <topic>R (Computer program language)</topic>
  </subject>
  <classification authority="lcc">QA 276.45 .H68 2014</classification>
  <classification authority="ddc" edition="23">QA 276.45 .H68 2014</classification>
  <identifier type="isbn">9781482204582</identifier>
  <identifier type="isbn">1482204584</identifier>
  <identifier type="lccn">2014498897</identifier>
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