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  <titleInfo>
    <title>Applied Bayesian modelling</title>
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  <name type="personal">
    <namePart>Congdon, P.</namePart>
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  <genre authority="">Electronic books.</genre>
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    <dateIssued encoding="marc">2014</dateIssued>
    <edition>Second edition.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>1 online resource (ix, 437 pages) : illustrations.</extent>
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  <abstract>This book provides an accessible approach to Bayesian computing and data analysis, with an emphasis on the interpretation of real data sets. Following in the tradition of the successful first edition, this book aims to make a wide range of statistical modeling applications accessible using tested code that can be readily adapted to the reader's own applications. The second edition has been thoroughly reworked and updated to take account of advances in the field. A new set of worked examples is included. The novel aspect of the first edition was the coverage of statistical modeling using Win.</abstract>
  <tableOfContents>Bayesian methods and Bayesian estimation -- Hierarchical models for related units -- Regression techniques -- More advanced regression techniques -- Meta-analysis and multilevel models -- Models for time series -- Analysis of panel data -- Models for spatial outcomes and geographical association -- Latent variable and structural equation models -- Survival and event history models.</tableOfContents>
  <note type="statement of responsibility">Peter Congdon.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Bayesian statistical decision theory</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Mathematical statistics</topic>
  </subject>
  <subject>
    <topic>Bayesian statistical decision theory</topic>
  </subject>
  <subject>
    <topic>Mathematical statistics</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MATHEMATICS</topic>
    <topic>Applied</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MATHEMATICS</topic>
    <topic>Probability &amp; Statistics</topic>
    <topic>General</topic>
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  <subject authority="fast">
    <topic>Bayesian statistical decision theory</topic>
  </subject>
  <subject authority="fast">
    <topic>Mathematical statistics</topic>
  </subject>
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    <topic>Bayesian statistical decision theory</topic>
  </subject>
  <subject authority="local">
    <topic>Mathematical statistics</topic>
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      <title>Applied Bayesian modelling</title>
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      <publisher>Chichester, West Sussex : John Wiley &amp; Sons, Inc., 2014</publisher>
      <edition>Second edition.</edition>
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    <identifier type="local">(DLC)  2014004862</identifier>
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      <title>Wiley series in probability and statistics</title>
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  <identifier type="isbn">9781118895061</identifier>
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  <identifier type="lccn">2014011504</identifier>
  <identifier type="stock number">CL0500000487 Safari Books Online</identifier>
  <identifier type="uri">http://onlinelibrary.wiley.com/book/10.1002/9781118895047</identifier>
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