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Statistical Tools for Environmental Quality Measurement

Handbook / Manual

Series: Chapman & Hall/CRC Applied Environmental Statistics

By: Michael E Ginevan and Douglas E Splitstone

352 pages, Figs, tabs

CRC Press

Hardback | Dec 2003 | #128352 | ISBN: 1584881577
Temporarily out of stock: order now to get this when available Details
NHBS Price: £90.99 $123/€103 approx

About this book

When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By doing this they will be able to make sound decisions in their efforts to solve environmental problems. They need a detailed reference that points out the subtle differences between statistical procedures, making clear what procedure to use when trying to find the answer to a specific problem. "Statistical Tools for Environmental Quality Measurement" provides a detailed review of statistical tools used in analyzing and addressing environmental issues. This book examines commonly-used techniques found in USEPA guidelines and discusses their potential impact on decision-making. The authors are not constrained by statistical formalism; they advise when to go outside of standard statistical models when making difficult decisions. The content is presented in a practical style that prioritizes methods that work, based upon the authors' extensive experience. The text points out that simplicity facilitates effective communication of an analysis and decision to a "consumer" of statistics. The book emphasizes the exact question that each procedure addresses, so that environmental scientists and engineers can clearly identify precisely the question they want to ask, and correctly interpret the results.


PrefaceSample Support and Related Scale Issues in Sampling and Sampling DesignBasic Tools and Concepts-Description of DataHypothesis TestingCorrelation and RegressionTools for Dealing with Censored DataThe Promise of the BootstrapTools for the Analysis of Spatial DataTools for the Analysis of Temporal Data

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