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 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 Minitab® 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.
Statistics for Censored Environmental Data Using Minitab® 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.
Contents
- Introduction to the First Edition: An Accident Waiting To Happen.
- Introduction to the Second Edition: Invasive Data.
- 1 Things People Do with Censored Data that Are Just Wrong.
- 2 Three Approaches for Censored Data.
- 3 Reporting Limits.
- 4 Reporting, Storing, and Using Censored Data.
- 5 Plotting Censored Data.
- 6 Computing Summary Statistics and Totals.
- 7 Computing Interval Estimates.
- 8 What Can be Done When All Data Are Below the Reporting Limit?
- 9 Comparing Two Groups.
- 10 Comparing Three or More Groups.
- 11 Correlation.
- 12 Regression and Trends.
- 13 Multivariate Methods for Censored Data.
- 14 The NADA for R Software.
- Appendix: Datasets.
- References.
- Index
About the Author
- Dennis R. Helsel, PhD, is owner and Principal Scientist of Practical Stats, where he designs and conducts training courses in environmental statistics for scientists. He has over thirty years of experience working with the U.S. Geological Survey and is the author of numerous published articles on nondetect data and statistical methods in the environmental sciences. Dr. Helsel is the recipient of the Distinguished Service Award from the U.S. Department of the Interior (2007) as well as the Distinguished Achievement Award from the American Statistical Association (2003).
Book Details
- Hardcover: 344 pages
- Publisher: Wiley; 2 edition (February 1, 2012)
- Language: English
- ISBN-10: 0470479884
- ISBN-13: 978-0470479889
- Product Dimensions: 9.3 x 6.4 x 1 inches
List Price: $115.00