Environmental Statistics: Methods and Applications

✍ Scribed by Vic Barnett

• Publisher: Wiley
• Year: 2004
• Tongue: English
• Leaves: 317
• Series: Wiley Series in Probability and Statistics
• Edition: 1
• Category: Library

✦ Synopsis

In modern society, we are ever more aware of the environmental issues we face, whether these relate to global warming, depletion of rivers and oceans, despoliation of forests, pollution of land, poor air quality, environmental health issues, etc. At the most fundamental level it is necessary to monitor what is happening in the environment – collecting data to describe the changing scene. More importantly, it is crucial to formally describe the environment with sound and validated models, and to analyse and interpret the data we obtain in order to take action.Environmental Statistics provides a broad overview of the statistical methodology used in the study of the environment, written in an accessible style by a leading authority on the subject. It serves as both a textbook for students of environmental statistics, as well as a comprehensive source of reference for anyone working in statistical investigation of environmental issues.Provides broad coverage of the methodology used in the statistical investigation of environmental issues.Covers a wide range of key topics, including sampling, methods for extreme data, outliers and robustness, relationship models and methods, time series, spatial analysis, and environmental standards.Includes many detailed practical and worked examples that illustrate the applications of statistical methods in environmental issues.Authored by a leading authority on environmental statistics.

✦ Table of Contents

Cover
......Page 1
Copyright
......Page 5
Contents
......Page 8
Preface
......Page 14
1. Introduction
......Page 16
I. Extremal stresses: extremes, outliers, robustness
......Page 36
2. Ordering and extremes: applications, models, inference
......Page 38
3. Outliers and robustness
......Page 60
II. Collecting environmental data: sampling and monitoring
......Page 90
4. Finite-population sampling
......Page 92
5. Inaccessible and sensitive data
......Page 120
6. Sampling in the wild
......Page 146
III. Examining environmental effects: stimulus–response relationships
......Page 166
7. Relationship: regression-type models and methods
......Page 168
8. Special relationship models, including quantal response and repeated measures
......Page 190
IV. Standards and regulations
......Page 204
9. Environmental standards
......Page 206
V. A many-dimensional environment: spatial and temporal processes
......Page 218
10. Time-series methods
......Page 220
11. Spatial methods for environmental processes
......Page 250
References
......Page 282
Index
......Page 300
Wiley series in probability and statistics
......Page 310