Statistical Methods for Environmental Pollution Monitoring by Richard O. Gilbert provides a comprehensive guide to statistical techniques used in environmental pollution monitoring. The book covers various sampling methods, including simple random sampling, stratified random sampling, two-stage sampling, compositing, systematic sampling, and double sampling. It also discusses the analysis of environmental data, including quantiles, proportions, means, skewed distributions, and goodness-of-fit tests. The book addresses the challenges of environmental data, such as variability, measurement errors, and the need for accurate and precise estimates. It also covers the detection of trends and hot spots, as well as the comparison of populations. The book is written for non-statisticians, including environmental scientists, engineers, and hydrologists, who have had one or two introductory statistics courses. The book provides statistical tests, parameter estimation procedures, and references to relevant publications. It is structured into chapters that discuss the design and analysis of environmental sampling studies, with an emphasis on the statistical characteristics of environmental data sets. The book is intended to serve as a general reference and may be used in an upper undergraduate or lower graduate level applied statistics course. The book also includes appendices with statistical tables and a glossary, as well as a bibliography and index.Statistical Methods for Environmental Pollution Monitoring by Richard O. Gilbert provides a comprehensive guide to statistical techniques used in environmental pollution monitoring. The book covers various sampling methods, including simple random sampling, stratified random sampling, two-stage sampling, compositing, systematic sampling, and double sampling. It also discusses the analysis of environmental data, including quantiles, proportions, means, skewed distributions, and goodness-of-fit tests. The book addresses the challenges of environmental data, such as variability, measurement errors, and the need for accurate and precise estimates. It also covers the detection of trends and hot spots, as well as the comparison of populations. The book is written for non-statisticians, including environmental scientists, engineers, and hydrologists, who have had one or two introductory statistics courses. The book provides statistical tests, parameter estimation procedures, and references to relevant publications. It is structured into chapters that discuss the design and analysis of environmental sampling studies, with an emphasis on the statistical characteristics of environmental data sets. The book is intended to serve as a general reference and may be used in an upper undergraduate or lower graduate level applied statistics course. The book also includes appendices with statistical tables and a glossary, as well as a bibliography and index.