Statistical Methods for Environmental Pollution Monitoring
Abstract
The application of statistics to environmental pollution monitoring studies requires a knowledge of statistical analysis methods particularly well suited to pollution data. This book fills that need by providing sampling plans, statistical tests, parameter estimation procedure techniques, and references to pertinent publications. Most of the statistical techniques are relatively simple, and examples, exercises, and case studies are provided to illustrate procedures. The book is logically divided into three parts. Chapters 1, 2, and 3 are introductory chapters. Chapters 4 through 10 discuss field sampling designs and Chapters 11 through 18 deal with a broad range of statistical analysis procedures. Some statistical techniques given here are not commonly seen in statistics book. For example, see methods for handling correlated data (Sections 4.5 and 11.12), for detecting hot spots (Chapter 10), and for estimating a confidence interval for the mean of a lognormal distribution (Section 13.2). Also, Appendix B lists a computer code that estimates and tests for trends over time at one or more monitoring stations using nonparametric methods (Chapters 16 and 17). Unfortunately, some important topics could not be included because of their complexity and the need to limit the length of the book. For example, only brief mention couldmore »
 Authors:

 Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
 Publication Date:
 Research Org.:
 Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
 Sponsoring Org.:
 USDOE
 OSTI Identifier:
 7037501
 Report Number(s):
 PNL4660
ON: TI87005525
 DOE Contract Number:
 AC0676RL01830
 Resource Type:
 Book
 Country of Publication:
 United States
 Language:
 English
 Subject:
 54 ENVIRONMENTAL SCIENCES; ENVIRONMENT; SAMPLING; POLLUTION; OPTIMIZATION; 500200*  Environment, Atmospheric Chemicals Monitoring & Transport (1989); 510200  Environment, Terrestrial Chemicals Monitoring & Transport (1989); 520200  Environment, Aquatic Chemicals Monitoring & Transport (1989)
Citation Formats
Gilbert, Richard O. Statistical Methods for Environmental Pollution Monitoring. United States: N. p., 1987.
Web.
Gilbert, Richard O. Statistical Methods for Environmental Pollution Monitoring. United States.
Gilbert, Richard O. Thu .
"Statistical Methods for Environmental Pollution Monitoring". United States. https://www.osti.gov/servlets/purl/7037501.
@article{osti_7037501,
title = {Statistical Methods for Environmental Pollution Monitoring},
author = {Gilbert, Richard O.},
abstractNote = {The application of statistics to environmental pollution monitoring studies requires a knowledge of statistical analysis methods particularly well suited to pollution data. This book fills that need by providing sampling plans, statistical tests, parameter estimation procedure techniques, and references to pertinent publications. Most of the statistical techniques are relatively simple, and examples, exercises, and case studies are provided to illustrate procedures. The book is logically divided into three parts. Chapters 1, 2, and 3 are introductory chapters. Chapters 4 through 10 discuss field sampling designs and Chapters 11 through 18 deal with a broad range of statistical analysis procedures. Some statistical techniques given here are not commonly seen in statistics book. For example, see methods for handling correlated data (Sections 4.5 and 11.12), for detecting hot spots (Chapter 10), and for estimating a confidence interval for the mean of a lognormal distribution (Section 13.2). Also, Appendix B lists a computer code that estimates and tests for trends over time at one or more monitoring stations using nonparametric methods (Chapters 16 and 17). Unfortunately, some important topics could not be included because of their complexity and the need to limit the length of the book. For example, only brief mention could be made of time series analysis using BoxJenkins methods and of kriging techniques for estimating spatial and spatialtime patterns of pollution, although multiple references on these topics are provided. Also, no discussion of methods for assessing risks from environmental pollution could be included.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {1987},
month = {1}
}