Content: <br>Chapter 1 Things People do with Censored Data that are Just Wrong (pages 1โ11): <br>Chapter 2 Three Approaches for Censored Data (pages 12โ21): <br>Chapter 3 Reporting Limits (pages 22โ36): <br>Chapter 4 Reporting, Storing, and Using Censored Data (pages 37โ43): <br>Chapter 5 Plotting C
Statistics for Censored Environmental Data Using Minitab and R (Statistics in Practice)
โ Scribed by Dennis R. Helsel
- Publisher
- Wiley
- Year
- 2012
- Tongue
- English
- Leaves
- 343
- Edition
- 2
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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."
โVadose Zone Journal
Statistical Methods for Censored Environmental Data Using Minitabยฎ 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 environmental studies.
This new edition applies methods of survival analysis, including methods for interval-censored data to the interpretation of low-level contaminants in environmental sciences and occupational health. Now incorporating the freely available R software as well as Minitabยฎ into the discussed analyses, the book features newly developed and updated material including:
A new chapter on multivariate methods for censored data
Use of interval-censored methods for treating true nondetects as lower than and separate from values between the detection and quantitation limits ("remarked data")
A section on summing data with nondetects
A newly written introduction that discusses invasive data, showing why substitution methods fail
Expanded coverage of graphical methods for censored data
The author writes in a style that focuses on applications rather than derivations, with chapters organized by key objectives such as computing intervals, comparing groups, and correlation. Examples accompany each procedure, utilizing real-world data that can be analyzed using the Minitabยฎ and R software macros available on the book's related website, and extensive references direct readers to authoritative literature from the environmental sciences.
Statistics for Censored Environmental Data Using Minitabยฎ and R, Second Edition is an excellent book for courses on environmental statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for?environmental professionals, biologists, and ecologists who focus on the water sciences, air quality, and soil science.
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