Environmental Statistics with R
2nd Edition
Will be published approx. on 15. January 2027
Book
Hardback
512 pages
978-1-4398-1027-9 (ISBN)
Description
Condensed and reorganized, this comprehensive second edition covers most of the statistical methods used in the field and now features the use of both R and S-Plus software. Continuing to emphasize lognormal distributions, censored data, and computing, this edition includes additional material on equivalence testing. It also illustrates environmental sampling designs using the public domain package VSP. In addition, the authors provide a detailed discussion of spatial mapping procedures and spatial mapping analysis in R. Along with updated problem sets and new examples, this edition contains numerous new references that bring the research up to date.
Reviews / Votes
Praise for the First Edition"... 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
More details
Edition
2nd edition
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Professional Practice & Development
Illustrations
100 s/w Abbildungen, 110 s/w Tabellen
110 Tables, black and white; 100 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-4398-1027-9 (9781439810279)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Steven P. Millard | Nagaraj Kneerchal
Environmental Statistics
Book
09/2000
1st Edition
CRC Press
€216.65
Shipment within 15-20 days
Person
Steven P. Millard is a consultant in Seattle, Washington.
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.
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.
Content
Introduction. Designing a Sampling Program. Probability Distributions. Looking at Data. Inference for Distribution Parameters and Related Quantities. Calculating Confidence Intervals. Quantiles, Prediction Intervals, Tolerance Intervals, and Control Charts. Hypothesis Tests for Comparing to a Standard. Hypothesis Tests for Comparing Groups. Regression and Correlation. Detection Limits and Censored Data. Time Series Analysis. Spatial Statistics. Monte Carlo Simulation and Risk Assessment.