Book by Millard Steven P Neerchal Nagaraj K Dixon Philip
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"provides an exhaustive treatment of the statistical sampling and analysis issues that confront applied environmental statisticians and scientists. Drs. Millard and Neerchal have a rare talent for explaining and illustrating even the most difficult statistical procedures and principles in language that is clear and free of jargon. However, the most unique feature of the software and text is that they are seamlessly interwoven, each complimenting the other. The software illustrates the book and the book places the software in the context of the underlying environmental research questions. This is unprecedented. Together the software and the book clarify the DQO and DQA process to such an extent that it is hard for me to imagine applying these principles to my own work or teaching them to applied scientists without the two." - Michael Riggs, RTI "The combination of easy-to-use software with easy access to a description of statistical methods is done with thoroughness and skill." -Richard Gilbert, Battelle Pacific NW Labs -JASA, September 2001 "Environmental Statistics With S-PLUS is a textbook with a thorough coverage of basic data analysis, but it also ventures into more complex areas such as risk assessment and spatial statistics. Although the use of the relevant S-PLUS packages is described throughout, the book is basically about statistics, not software: It is statistics "with" rather than "in" or "for" S-PLUS. It is allegedly intended for just about anyone: in practice it would be suitable for many people with a background in engineering or environmental health." -Technometrics, Vol. 43, No. 4, November 2001
A clear, comprehensive treatment of the subject, Environmental Statistics with S-PLUS surveys the vast array of statistical methods used to collect and analyze environmental data. The book explains what these methods are, how to use them, and where to find references to them. In addition, it provides insight into what to think about before you collect environmental data, how to collect the data, and how to make sense of it after collection.
A unique and powerful feature of the book is its integration with the commercially available software package S-Plus and the add-on modules EnvironmentalStats for S-PLUS, S+SpatialStats, and S-PLUS for ArcView. The book presents data sets to explain statistical methods, and then shows how to implement these methods by providing the commands for and the results from the software.
This survey of statistical methods, definitions, and concepts helps you collect and effectively analyze data for environmental pollution problems. Using the S-PLUS software in conjunction with this text will no doubt increase understanding of the methods.
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