A new edition of the most comprehensive overview of statistical
methods for environmental monitoring applications Thoroughly
updated to provide current research findings, Statistical Methods
for Groundwater Monitoring, Second Edition continues to provide a
comprehensive overview and accessible treatment of the statistical
methods that are useful in the analysis of environmental data. This
new edition expands focus on statistical comparison to regulatory
standards that are a vital part of assessment, compliance, and
corrective action monitoring in the environmental sciences.
The book explores quantitative concepts useful for surface water
monitoring as well as soil and air monitoring applications while
also maintaining a focus on the analysis of groundwater monitoring
data in order to detect environmental impacts from a variety of
sources, such as industrial activity and waste disposal. The
authors introduce the statistical properties of alternative
approaches, such as false positive and false negative rates, that
are associated with each test and the factors related to these
error rates. The Second Edition also features:
An introduction to Intra-laboratory Calibration Curves and
random-effects regression models for non-constant measurement
variability
Coverage of statistical prediction limits for a
gamma-distributed random variable, with a focus on estimation and
testing of parameters in environmental monitoring applications
A unified treatment of censored data with the computation of
statistical prediction, tolerance, and control limits
Expanded coverage of statistical issues related to laboratory
practice, such as detection and quantitation limits
An updated chapter on regulatory issues that outlines common
mistakes to avoid in groundwater monitoring applications as well as
an introduction to the newest regulations for both hazardous and
municipal solid waste facilities
Each chapter provides a general overview of a problem, followed
by statistical derivation of the solution and a relevant example
complete with computational details that allow readers to perform
routine application of the statistical results. Relevant issues are
highlighted throughout, and recommendations are also provided for
specific problems based on characteristics such as number of
monitoring wells, number of constituents, distributional form of
measurements, and detection frequency.
Statistical Methods for Groundwater Monitoring, Second Edition
is an excellent supplement to courses on environmental statistics
at the upper-undergraduate and graduate levels. It is also a
valuable resource for researchers and practitioners in the fields
of biostatistics, engineering, and the environmental sciences who
work with statistical methods in their everyday work.
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