Analyzing Environmental Data - Hardcover

Über die Autorin bzw. den Autor

Walter W. Piegorsch, University of South Carolina, Columbia, South Carolina, USA
Walter W. Piegorsch earned an M.S. and a Ph.D. Statistics at the Biometrics Unit, Cornell University. He was a Statistician with the U.S. National Institute of Environmental Health Sciences from 1984 to 1993, then moved to the University of South Carolina, Columbia, where he is now Professor and Director of Undergraduate Studies in Statistics. Walter has co-authored or co-edited two books, Statistics for Environmental Biology and Toxicology with A. John Bailer, and Case Studies in Environmental Statistics with Douglas W. Nychka and Lawrence H. Cox. He also serves or has served as a member of the Editorial Board of Environmental and Molecular Mutagenesis and Mutation Research, the Editorial Review Board of Environmental Health Perspectives, and as an Associate Editor for Environmetrics, Environmental and Ecological Statistics, Biometrics, and the Journal of the American Statistical Association. Walter is a Fellow of the American Statistical Association, an elected member of the International Statistical Institute, and has received a Distinguished Achievement Medal from the American Statistical Association Section on Statistics and the Environment. He has served as Vice-Chair of the American Statistical Association Council of Sections Governing Board, as Program Chairman of the Joint Statistical Meetings, and as Secretary of the Eastern North American Region of the International Biometric Society. He has also served and continues to serve on advisory boards and peer review groups for governmental agencies including the U.S. National Toxicology Program, the U.S. Environmental Protection Agency, and the U.S. National Science Foundation.

A. John Bailer, Department of Mathematics & Statistics, Miami University, USA.

Von der hinteren Coverseite

Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of data evaluation. The text extends beyond the introductory level, allowing students and environmental science practitioners to develop the expertise to design and perform sophisticated environmental data analyses. In particular, it:

• Provides a coherent introduction to intermediate and advanced methods for modeling and analyzing environmental data.
• Takes a data-oriented approach to describing the various methods.
• Illustrates the methods with real-world examples
• Features extensive exercises, enabling use as a course text.
• Includes examples of SAS computer code for implementation of the statistical methods.
• Connects to a Web site featuring solutions to exercises, extra computer code, and additional material.
• Serves as an overview of methods for analyzing environmental data, enabling use as a reference text for environmental science professionals.

Aus dem Klappentext

Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of data evaluation. The text extends beyond the introductory level, allowing students and environmental science practitioners to develop the expertise to design and perform sophisticated environmental data analyses. In particular, it:

• Provides a coherent introduction to intermediate and advanced methods for modeling and analyzing environmental data.
• Takes a data-oriented approach to describing the various methods.
• Illustrates the methods with real-world examples
• Features extensive exercises, enabling use as a course text.
• Includes examples of SAS computer code for implementation of the statistical methods.
• Connects to a Web site featuring solutions to exercises, extra computer code, and additional material.
• Serves as an overview of methods for analyzing environmental data, enabling use as a reference text for environmental science professionals.