Revised edition of: Nondetects and data analysis / Dennis R. Helsel. 2005. Includes bibliographical references and index.

This Second Edition solves a current dilemma that occurs across a wide spectrum of environmental science: how to correctly analyze and interpret censored data (data below detection limits). It adapts survival analysis methods and demonstrates their practical applications when studyingtrace chemicals in air, water, soils, and biota. 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.