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" Statistics for censored environmental data using Minitab and R / "


Document Type : BL
Record Number : 657264
Doc. No : dltt
Main Entry : Helsel, Dennis R.
Title & Author : Statistics for censored environmental data using Minitab and R /\ Dennis R. Helsel.
Edition Statement : 2nd ed
: 2nd ed
Series Statement : Wiley series in statistics in practice
Page. NO : 1 online resource (xix, 324 pages) :: illustrations.
ISBN : 9781118162729 (electronic bk.)
: : 1118162722 (electronic bk.)
: : 9781118162781 (electronic bk.)
: : 1118162781 (electronic bk.)
: 9780470479889
: 0470479884
Notes : Rev. ed. of: Nondetects and data analysis / Dennis R. Helsel. 2005
Bibliographies/Indexes : Includes bibliographical references (pages 309-320) and index
Contents : 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 --
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
Subject : Environmental sciences-- Statistical methods.
Subject : Pollution-- Measurement-- Statistical methods.
Subject : R (Computer program language)
Dewey Classification : ‭363.730285/53‬
LC Classification : ‭GE45.S73‬‭H45 2012eb‬
Added Entry : Helsel, Dennis R.
Added Entry : Ohio Library and Information Network.
: Wiley Online Library (Online service)
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