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  <titleInfo>
    <title>Principles of applied statistics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Cox, D.R.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Donnelly, C. A.</namePart>
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  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
    <place>
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    <place>
      <placeTerm type="text">Cambridge</placeTerm>
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    <publisher>CUP</publisher>
    <dateIssued>2011</dateIssued>
    <dateIssued encoding="marc">1997</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>x, 202 p.:  ill. ; 23 cm.</extent>
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  <abstract>Applied statistics is more than data analysis, but it is easy to lose sight of the big picture. David Cox and Christl Donnelly distil decades of scientific experience into usable principles for the successful application of statistics, showing how good statistical strategy shapes every stage of an investigation. As you advance from research or policy question, to study design, through modelling and interpretation,</abstract>
  <tableOfContents>Contents: 1. Some general concepts --  2. Design of studies --  3. Special types of study --  4. Principles of measurement --  5. Preliminary analysis --  6. Model formulation --  7. Model choice --  8. Techniques of formal inference --  9. Interpretation --  10. Epilogue --</tableOfContents>
  <note type="statement of responsibility">D.R. Cox, Christl A. Donnelly</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Mathematical statistics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Statistics</topic>
  </subject>
  <classification authority="lcc">QA279.C87  </classification>
  <identifier type="isbn">9781107013599</identifier>
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