Statistical Methods for Environmental Pollution Monitoring
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.
1102299643
Statistical Methods for Environmental Pollution Monitoring
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.
207.95 In Stock
Statistical Methods for Environmental Pollution Monitoring

Statistical Methods for Environmental Pollution Monitoring

by Richard O. Gilbert
Statistical Methods for Environmental Pollution Monitoring

Statistical Methods for Environmental Pollution Monitoring

by Richard O. Gilbert

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$207.95 
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Overview

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.

Product Details

ISBN-13: 9780471288787
Publisher: Wiley
Publication date: 02/15/1987
Pages: 336
Product dimensions: 7.09(w) x 10.26(h) x 0.88(d)

About the Author

Richard O. Gilbert is the author of Statistical Methods for Environmental Pollution Monitoring, published by Wiley.

Table of Contents

Sampling Environmental Populations.

Environmental Sampling Design.

Simple Random Sampling.

Stratified Random Sampling.

Two-Stage Sampling.

Compositing and Three-Stage Sampling.

Systematic Sampling.

Double Sampling.

Locating Hot Spots.

Quantiles, Proportions, and Means.

Skewed Distributions and Goodness-of-Fit Tests.

Characterizing Lognormal Populations.

Estimating the Mean and Variance from Censored Data Sets.

Outlier Detection and Control Charts.

Detecting and Estimating Trends.

Trends and Seasonality.

Comparing Populations.

Appendices.

Symbols.

Glossary.

Bibliography.

Index.
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