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  <titleInfo>
    <nonSort>An </nonSort>
    <title>introduction to nonparametric statistics</title>
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  <name type="personal">
    <namePart>Kolassa, John Edward</namePart>
    <namePart type="date">1963-</namePart>
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    <dateIssued encoding="marc">2020</dateIssued>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
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  <abstract>"This book presents the theory and practice of non-parametric statistics, with an emphasis on motivating principals. The course is a combination of traditional rank based methods and more computationally-intensive topics like density estimation, kernel smoothers in regression, and robustness. The text is aimed at MS students"--</abstract>
  <tableOfContents>BackgroundOne-Sample Nonparametric InferenceTwo-Sample TestingMethods for Three or More GroupsGroup Differences with BlockingBivariate MethodsMultivariate AnalysisDensity EstimationRegression Function EstimatesResampling TechniquesAppendices</tableOfContents>
  <note type="statement of responsibility">John Kolassa.</note>
  <note>"A Chapman &amp; Hall book."</note>
  <subject authority="lcsh">
    <topic>Nonparametric statistics</topic>
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  <subject authority="bisacsh">
    <topic>MATHEMATICS / Probability &amp; Statistics / General</topic>
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  <classification authority="lcc">QA278.8</classification>
  <classification authority="ddc" edition="23">519.5</classification>
  <identifier type="isbn">9780429202759</identifier>
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