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  <titleInfo>
    <title>Mathematical statistics with applications in R</title>
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  <name type="personal">
    <namePart>Ramachandran, K. M.</namePart>
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  <name type="personal">
    <namePart>Tsokos, Chris P.</namePart>
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  <genre authority="">Electronic books.</genre>
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    <dateIssued encoding="marc">2015</dateIssued>
    <copyrightDate encoding="marc">2015</copyrightDate>
    <edition>2nd ed.</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 (xxiii, 800 pages)</extent>
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  <abstract>Mathematical Statistics with Applications, Second Edition, gives an up-to-date introduction to the theory of statistics with a wealth of real-world applications that will help students approach statistical problem solving in a logical manner. The book introduces many modern statistical computational and simulation concepts that are not covered in other texts; such as the Jackknife, bootstrap methods, the EM algorithms, and Markov chain Monte Carlo (MCMC) methods such as the Metropolis algorithm, Metropolis-Hastings algorithm and the Gibbs sampler. Goodness of fit methods are included to identify the probability distribution that characterizes the probabilistic behavior or a given set of data. Engineering students, especially, will find these methods to be very important in their studies.</abstract>
  <note type="statement of responsibility">by Kandethody M. Ramachandran, Chris P. Tsokos.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Mathematical statistics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Mathematical statistics</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>R (Computer program language)</topic>
  </subject>
  <subject authority="fast">
    <topic>Mathematical statistics</topic>
  </subject>
  <subject authority="fast">
    <topic>Mathematical statistics</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="fast">
    <topic>R (Computer program language)</topic>
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  <subject authority="mesh">
    <topic>Statistics as Topic</topic>
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  <classification authority="lcc">QA276 .R328 2015</classification>
  <classification authority="ddc" edition="23">519.5</classification>
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  <identifier type="isbn">012417132X</identifier>
  <identifier type="isbn">9780124171329</identifier>
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