Statistics for Censored Environmental Data Using Minitab and R

Praise for the First Edition

" . . . an excellent addition to an upper-level undergraduatecourse on environmental statistics, and . . . a 'must-have' deskreference for environmental practitioners dealing with censoreddatasets."
--Vadose Zone Journal

Statistical Methods for Censored Environmental Data UsingMinitab(R) and R, Second Edition introduces and explains methodsfor analyzing and interpreting censored data in the environmentalsciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplinesinto new solutions for environmental studies.

This new edition applies methods of survival analysis, includingmethods for interval-censored data to the interpretation oflow-level contaminants in environmental sciences and occupationalhealth. Now incorporating the freely available R software as wellas Minitab(R) into the discussed analyses, the book featuresnewly developed and updated material including:

• A new chapter on multivariate methods for censored data

• Use of interval-censored methods for treating true nondetects aslower than and separate from values between the detection andquantitation 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 ratherthan derivations, with chapters organized by key objectives such ascomputing intervals, comparing groups, and correlation. Examplesaccompany each procedure, utilizing real-world data that can beanalyzed using the Minitab(R) and R software macros available onthe book's related website, and extensive references direct readersto authoritative literature from the environmental sciences.

Statistics for Censored Environmental Data Using Minitab(R)and R, Second Edition is an excellent book for courses onenvironmental statistics at the upper-undergraduate and graduatelevels. The book also serves as a valuable referencefor environmental professionals, biologists, and ecologistswho focus on the water sciences, air quality, and soil science.