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  <titleInfo>
    <title>Statistics for censored environmental data using Minitab and R</title>
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  <name type="personal">
    <namePart>Helsel, Dennis R.</namePart>
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  <genre authority="">Electronic books.</genre>
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    <place>
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    <publisher>Wiley</publisher>
    <dateIssued>©2012</dateIssued>
    <dateIssued encoding="marc">2012</dateIssued>
    <edition>2nd ed.</edition>
    <issuance>monographic</issuance>
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    <extent>1 online resource (xix, 324 pages) : illustrations.</extent>
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  <abstract>Praise for the First Edition " ... an excellent addition to an upper-level undergraduate course on environmental statistics, and ... a 'must-have' desk reference for environmental practitioners dealing with censored datasets."--Vadose Zone Journal Statistical Methods for Censored Environmental Data Using Minitab® and R, Second Edition introduces and explains methods for analyzing and interpreting censored data in the environmental sciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplines into new solutions for en.</abstract>
  <tableOfContents>Frontmatter -- Things People do with Censored Data that are Just Wrong -- Three Approaches for Censored Data -- Reporting Limits -- Reporting, Storing, and Using Censored Data -- Plotting Censored Data -- Computing Summary Statistics and Totals -- Computing Interval Estimates -- What can be done when all Data are below the Reporting Limit? -- Comparing Two Groups -- Comparing Three or more Groups -- Correlation -- Regression and Trends -- Multivariate Methods for Censored Data -- The NADA for R Software -- Appendix: Datasets -- References -- Index -- Statistics in Practice.</tableOfContents>
  <note type="statement of responsibility">Dennis R. Helsel.</note>
  <note>Revised edition of: Nondetects and data analysis / Dennis R. Helsel. 2005.</note>
  <note>Includes bibliographical references (pages 309-320) and index.</note>
  <subject authority="lcsh">
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      <title>Minitab</title>
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  <subject authority="fast">
    <titleInfo>
      <title>Minitab</title>
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  <subject authority="lcsh">
    <topic>Environmental sciences</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Pollution</topic>
    <topic>Measurement</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject authority="lcsh">
    <topic>R (Computer program language)</topic>
  </subject>
  <subject>
    <topic>Environmental sciences</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject>
    <topic>Minitab</topic>
  </subject>
  <subject>
    <topic>Pollution</topic>
    <topic>Measurement</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject>
    <topic>R (Computer program language)</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>TECHNOLOGY &amp; ENGINEERING</topic>
    <topic>Environmental</topic>
    <topic>Pollution Control</topic>
  </subject>
  <subject authority="fast">
    <topic>Environmental sciences</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject authority="fast">
    <topic>Pollution</topic>
    <topic>Measurement</topic>
    <topic>Statistical methods</topic>
  </subject>
  <subject authority="fast">
    <topic>R (Computer program language)</topic>
  </subject>
  <classification authority="lcc">GE45.S73 H45 2012eb</classification>
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