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  <titleInfo>
    <title>Time series</title>
    <subTitle>applications to finance with R and S-Plus</subTitle>
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  <name type="personal">
    <namePart>Chan, Ngai Hang.</namePart>
    <role>
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  </name>
  <name type="corporate">
    <namePart>ebrary, Inc</namePart>
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  <typeOfResource>text</typeOfResource>
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  <genre authority="local">Electronic books.</genre>
  <originInfo>
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    <place>
      <placeTerm type="text">Hoboken, N.J</placeTerm>
    </place>
    <publisher>Wiley</publisher>
    <dateIssued>2010</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>
    <form authority="gmd">electronic resource</form>
    <extent>xxiii, 296 p. : ill.</extent>
  </physicalDescription>
  <abstract>"This book is designed to help readers grasp the conceptual underpinnings of time series modeling in order to gain a deeper understanding of the ever-changing dynamics of the financial world. It covers theory and application equally for readers from both financial and mathematical backgrounds. The book offers succinct coverage of standard topics in statistical time series - such as forecasting and spectral analysis - in a manner that is both technical and conceptual. Recent developments in nonstandard time series techniques such as Bayesian methods and arbitrage statistics have been added to this edition, and they are illustrated in detail with real financial examples. Subroutines in R and S-Plus are lavishly displayed throughout in this new edition. An author website provides instructor notations and additional software subroutines, as well as complete solutions to the exercises in the text."--</abstract>
  <abstract>"This book is designed to help readers grasp the conceptual underpinnings of time series modeling in order to gain a deeper understanding of the ever-changing dynamics of the financial world. It covers theory and application equally for readers from both financial and mathematical backgrounds"--</abstract>
  <note type="statement of responsibility">Ngai Hang Chan.</note>
  <note>Includes bibliographical references and indexes.</note>
  <note>Electronic reproduction. Palo Alto, Calif. : ebrary, 2011. Available via World Wide Web. Access may be limited to ebrary affiliated libraries.</note>
  <subject authority="lcsh">
    <topic>Time-series analysis</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Econometrics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Risk management</topic>
  </subject>
  <classification authority="lcc">HA30.3 .C47 2010eb</classification>
  <classification authority="ddc" edition="22">332.01/51955</classification>
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