„This book covers an impressive range of topics . . . The book canbe used as a basis for courses of different levels.“ (Stat Papers,2010)
"Some of the unique aspects of Piegorsch and Bailer'streatment are benchmark dose estimation for toxicants, statisticalissues in risk assessment, the assessment of trend and step changesin temporal data, and the discussion of sampling.„ (Journal ofthe American Statistical Association, June 2008)
“I enjoyed reading this book and I recommend it to those readersinterested in the field of environmental statistics.„ (Journalof Applied Statistics, January 2009)
“This highly recommended book will provide the background forthe proper application of statistical methods. These will make aninvaluable contribution to the realistic assessment of the damageto the environment to be expected as a result of global warming. The subject and author indexes are both excellent.„ (Journal ofChemical Technology and Biotechnology, August 2006)
“This highly recommended book will provide the background forthe proper application of statistical methods. These will make aninvaluable contribution to the realistic assessment of the damageto the environment to be expected as a result of global warming. The subject and author indexes are both excellent.„ (Journal ofChemical Technology and Biotechnology, Aug 2008)
“... This is a substantial and thorough book... a handy referencebook for any statistician's bookshelf..." (InternationalStatistical Institute, January 2006)
* 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.
Graduate students of statistics studying environmental data analysis will find this invaluable as will practicing data analysts and environmental scientists including specialists in atmospheric science, biology and biomedicine, chemistry, ecology, environmental health, geography, and geology.
