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  <titleInfo>
    <nonSort>An </nonSort>
    <title>introduction to probability and statistical inference</title>
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    <namePart>Roussas, George G.</namePart>
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    <dateIssued encoding="marc">2015</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
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    <extent>1 online resource : illustrations</extent>
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  <tableOfContents>Some motivating examples and some fundamental concepts -- The concept of probability and some basic results -- Numerical characteristics of a random variable, some special random variables -- Joint and conditional P.D.F.'s, conditional expectation and variance, moment generating function, covariance and correlation coefficient -- Independence of random variables and some applications -- Transformation of random variables -- Some modes of convergence of random variables, applications -- An overview of statistical inference -- Point estimation -- Confidence intervals and confidence regions -- Testing hypotheses -- More about testing hypotheses -- A simple linear regression model -- Two models of analysis of variance -- Some topics in nonparametric inference.</tableOfContents>
  <note type="statement of responsibility">by George G. Roussas, Department of Statistics, University of California, Davis.</note>
  <note>Includes index.</note>
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    <topic>Probabilities</topic>
    <topic>Textbooks</topic>
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  <subject authority="lcsh">
    <topic>Mathematical statistics</topic>
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  <subject authority="fast">
    <topic>Mathematical statistics</topic>
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  <subject authority="fast">
    <topic>Probabilities</topic>
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  <subject authority="mesh">
    <topic>Probability</topic>
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  <subject authority="mesh">
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      <namePart>Roussas, George G.</namePart>
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      <publisher>London, UK ; Waltham, MA : Academic Press, an imprint of Elsevier, [2015]</publisher>
      <edition>Second edition.</edition>
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    <identifier type="local">(DLC)  2014025745</identifier>
    <identifier type="local">(OCoLC)891718621</identifier>
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  <identifier type="isbn">9780128004371</identifier>
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