Description
Book SynopsisThis 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 thi
Table of ContentsSampling 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.
