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  <titleInfo>
    <title>Maximum likelihood estimation and inference : with examples in R, SAS, and ADMB</title>
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  <name type="personal">
    <namePart>Millar, R. B. (Russell B.)</namePart>
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    <namePart>Wiley InterScience (Online service)</namePart>
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  <genre authority="">Electronic books.</genre>
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    <place>
      <placeTerm type="text">Hoboken, N.J</placeTerm>
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    <publisher>Wiley</publisher>
    <dateIssued>©2011</dateIssued>
    <dateIssued encoding="marc">2011</dateIssued>
    <issuance>monographic</issuance>
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  <abstract>"Applied Likelihood Methods provides an accessible and practical introduction to likelihood modeling, supported by examples and software. The book features applications from a range of disciplines, including statistics, medicine, biology, and ecology. The methods are implemented in SAS--the most widely used statistical software package--and the data sets and SAS code are provided on a Web site, enabling the reader to use the methods to solve problems in their own work. This book serves as an ideal text for applied scientists and researchers and graduate students of statistics"--</abstract>
  <abstract>"This book is the first to provide an accessible and practical introduction to likelihood modeling, supported by examples and software, and is suitable for the applied scientist"--</abstract>
  <tableOfContents>Front Matter -- Preliminaries. A Taste of Likelihood -- Essential Concepts and Iid Examples -- Pragmatics. Hypothesis Tests and Confidence Intervals or Regions -- What you Really need to Know -- Maximizing the Likelihood -- Some Widely Used Applications of Maximum Likelihood -- Generalized Linear Models and Extensions -- Quasi-Likelihood and Generalized Estimating Equations -- ML Inference in the Presence of Incidental Parameters -- Latent Variable Models -- Theoretical Foundations. Cram̌r-Rao Inequality and Fisher Information -- Asymptotic Theory and Approximate Normality -- Tools of the Trade -- Fundamental Paradigms and Principles of Inference -- Miscellanea -- Appendix: Partial Solutions to Selected Exercises -- Bibliography -- Index -- Statistics in Practice.</tableOfContents>
  <note type="statement of responsibility">Russell B. Millar.</note>
  <note>Includes bibliographical references and index.</note>
  <note>Electronic reproduction. Hoboken, N.J. : Wiley InterScience, 2011. Mode of access: World Wide Web. System requirements: Web browser. Title from title screen (viewed on Aug. 2, 2011). Access may be restricted to users at subscribing institutions.</note>
  <subject authority="lcsh">
    <topic>Estimation theory</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Chance</topic>
    <topic>Mathematical models</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MATHEMATICS</topic>
    <topic>Probability &amp; Statistics</topic>
    <topic>General</topic>
  </subject>
  <classification authority="lcc">QA276.8 .M55 2011</classification>
  <classification authority="ddc" edition="22">519.5/44</classification>
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      <title>Maximum likelihood estimation and inference</title>
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      <publisher>Hoboken, N.J. : Wiley, ©2011</publisher>
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    <identifier type="local">(DLC)  2011013225</identifier>
    <identifier type="local">(OCoLC)690090037</identifier>
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  <identifier type="isbn">9780470094846</identifier>
  <identifier type="isbn">0470094842</identifier>
  <identifier type="stock number">10.1002/9780470094846 Wiley InterScience</identifier>
  <identifier type="uri">http://onlinelibrary.wiley.com/book/10.1002/9780470094846</identifier>
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