Statistics for censored environmental data using Minitab and R / Dennis R. Helsel.
Material type: TextSeries: Statistics in practicePublication details: Hoboken, N.J. : Wiley, ©2012.Edition: 2nd edDescription: 1 online resource (xix, 324 pages) : illustrationsContent type:- text
- computer
- online resource
- 9781118162729
- 1118162722
- 9781118162781
- 1118162781
- Minitab
- Minitab
- Environmental sciences -- Statistical methods
- Pollution -- Measurement -- Statistical methods
- R (Computer program language)
- Environmental sciences -- Statistical methods
- Minitab
- Pollution -- Measurement -- Statistical methods
- R (Computer program language)
- TECHNOLOGY & ENGINEERING -- Environmental -- Pollution Control
- Environmental sciences -- Statistical methods
- Pollution -- Measurement -- Statistical methods
- R (Computer program language)
- 363.730285/53 23
- GE45.S73 H45 2012eb
Revised edition of: Nondetects and data analysis / Dennis R. Helsel. 2005.
Includes bibliographical references (pages 309-320) and index.
Print version record.
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.
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.
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