Revised, expanded, and updated, this second edition of
Statistics for Environmental Science and Management is that rare
animal, a resource that works well as a text for graduate courses
and a reference for appropriate statistical approaches to specific
environmental problems. It is uncommon to find so many important
environmental topics covered in one book. Its strength is author
Bryan Manly's ability to take a non-mathematical approach while
keeping essential mathematical concepts intact. He clearly explains
statistics without dwelling on heavy mathematical development.
The book begins by describing the important role statistics play
in environmental science. It focuses on how to collect data,
highlighting the importance of sampling and experimental design in
conducting rigorous science. It presents a variety of key topics
specifically related to environmental science such as monitoring,
impact assessment, risk assessment, correlated and censored data
analysis, to name just a few.
Revised, updated or expanded material on:
- Data Quality Objectives
- Generalized Linear Models
- Spatial Data Analysis
- Censored Data
- Monte Carlo Risk Assessment
There are numerous books on environmental statistics; however,
while some focus on multivariate methods and others on the basic
components of probability distributions and how they can be used
for modeling phenomenon, most do not include the material on
sampling and experimental design that this one does. It is the
variety of coverage, not sacrificing too much depth for breadth,
that sets this book apart.
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