Statistical Methods for Environmental Pollution MonitoringISBN: 978-0-471-28878-7
Hardcover
336 pages
February 1987
This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.
|
This book discusses a broad range of statistical design and
analysis methods that are particularly well suited to pollution
data. It explains key statistical techniques in easy-to-comprehend
terms and uses practical examples, exercises, and case studies to
illustrate procedures. Dr. Gilbert begins by discussing a
space-time framework for sampling pollutants. He then shows how to
use statistical sample survey methods to estimate average and total
amounts of pollutants in the environment, and how to determine the
number of field samples and measurements to collect for this
purpose. Then a broad range of statistical analysis methods are
described and illustrated. These include:
* determining the number of samples needed to find hot spots
* analyzing pollution data that are lognormally distributed
* testing for trends over time or space
* estimating the magnitude of trends
* comparing pollution data from two or more populations
New areas discussed in this sourcebook include statistical techniques for data that are correlated, reported as less than the measurement detection limit, or obtained from field-composited samples. Nonparametric statistical analysis methods are emphasized since parametric procedures are often not appropriate for pollution data. This book also provides an illustrated comprehensive computer code for nonparametric trend detection and estimation analyses as well as nineteen statistical tables to permit easy application of the discussed statistical techniques. In addition, many publications are cited that deal with the design of pollution studies and the statistical analysis of pollution data. This sourcebook will be a useful tool for applied statisticians, ecologists, radioecologists, hydrologists, biologists, environmental engineers, and other professionals who deal with the collection, analysis, and interpretation of pollution in air, water, and soil.
* determining the number of samples needed to find hot spots
* analyzing pollution data that are lognormally distributed
* testing for trends over time or space
* estimating the magnitude of trends
* comparing pollution data from two or more populations
New areas discussed in this sourcebook include statistical techniques for data that are correlated, reported as less than the measurement detection limit, or obtained from field-composited samples. Nonparametric statistical analysis methods are emphasized since parametric procedures are often not appropriate for pollution data. This book also provides an illustrated comprehensive computer code for nonparametric trend detection and estimation analyses as well as nineteen statistical tables to permit easy application of the discussed statistical techniques. In addition, many publications are cited that deal with the design of pollution studies and the statistical analysis of pollution data. This sourcebook will be a useful tool for applied statisticians, ecologists, radioecologists, hydrologists, biologists, environmental engineers, and other professionals who deal with the collection, analysis, and interpretation of pollution in air, water, and soil.