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.
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