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  <titleInfo>
    <title>Empirical model building: data, models, and reality</title>
    <subTitle>data, models, and reality</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Thompson, James R. (James Robert)</namePart>
    <namePart type="date">1938-</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </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>
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    <place>
      <placeTerm type="text">Hoboken, N.J</placeTerm>
    </place>
    <publisher>John Wiley &amp; Sons</publisher>
    <dateIssued>c2011</dateIssued>
    <dateIssued encoding="marc">2011</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">electronic</form>
    <extent>xvii, 430 p. : ill. 25 cm.</extent>
  </physicalDescription>
  <abstract>"This book presents a hands-on approach to the basic principles of empirical model building through the shrewd mixture of differential equations, computer-intensive methods, and data in a single-volume. It includes a series of real-world statistical problems illustrating modeling skills and techniques that are applicable to a broad range of audiences from applied statisticians to practicing MBAs. It covers models of growth and decay, systems where competition and interaction add to the complexity of the model, and discusses both classical and non-classical data analysis methods, alongside an extended list of more than twenty essential topics. The author also includes numerous exercises, an emphasis on computational finance and Bayesian techniques, and timely discussions of epidemics, quality control, and chaos in a dynamic world"--</abstract>
  <note type="statement of responsibility">James R. Thompson</note>
  <note>1. Experimental design.  2. Mathematical models.  3. Mathematical statistics.</note>
  <note>Includes bibliographical references and index.</note>
  <note>Electronic reproduction. Palo Alto, Calif. : ebrary, 2012. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.</note>
  <subject authority="lcsh">
    <topic>Experimental design</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Mathematical statistics</topic>
  </subject>
  <classification authority="lcc">QA279 .T49 2011eb</classification>
  <classification authority="ddc" edition="23">519.57</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Wiley series in probability and statistics ; 794</title>
    </titleInfo>
  </relatedItem>
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  <identifier type="uri">http://www.columbia.edu/cgi-bin/cul/resolve?clio10139589</identifier>
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