Environmental Statistics with R
- Hardback | 512 pages
- 156 x 235 x 6.35mm | 108.86g
- 01 Jan 2021
- Taylor & Francis Inc
- CRC Press Inc
- Bosa Roca, United States
- New edition
- 2nd New edition
- 110 Tables, black and white; 100 Illustrations, black and white
Other books in this series
03 Nov 2008
07 Nov 2014
29 Sep 2019
30 Aug 2012
05 Sep 2016
09 Mar 2018
Table of contents
"... a comprehensive resource for environmental scientists, engineers, regulators, and students who need to collect and make sense of environmental data. ... A strong feature of the text is the companion information and data sets posted on the book's website. ... The book is a good general text in statistical methodology that addresses the use of S-Plus."
-JASA, September 2001
"... 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
"Environmental Statistics with S-PLUS is a textbook with thorough coverage of basic data analysis, but it also ventures into more complex areas such as risk assessment and spatial statistics. ... It is 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
About Steven P. Millard
Nagaraj K. Neerchal is the chair of the Department of Mathematics and Statistics at the University of Maryland in Baltimore.
Philip Dixon is a professor of statistics at Iowa State University in Ames.