NTU UK:  Barnett-2004

Title
Environmental Statistics: Methods and Applications
Author
Barnett, Vic
Abstract/Summary Statement
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 analyze 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. Topics covered include sampling, methods for extreme data, outliers and robustness, relationship models and methods, time series, spatial analysis, and environmental standards.
Table of Contents
Chapters:
1. Introduction
2. Ordering and extremes: applications, models, inference
3. Outliers and robustness
4. Finite population sampling
5. Inaccessible and sensitive data
6. Sampling in the wild
7. Relationship: regression-type models and methods
8. Special relationship models, including quantal response and repeated measures
9. Environmental standards
10. Time series methods
11. Spatial methods for environmental processes
Citation
Barnett, Vic, 2004, Environmental Statistics: Methods and Applications. John Wiley & Sons: Chichester, West Sussex, England, 316 pp.
Method Source
NTU UK
Source Organization Country
UK
Publication Year
2004
Special Notes
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Item Type
Book
Publication Source Type
Academic Institution
Purpose
Data analysis
Monitoring program design
Design or Data Analysis Objectives
Bioassays & toxicity tests
Compare treatments
Compliance with a threshold
Derive thresholds
Exploring/summarizing data
Probability survey
Relationships & correlations
Spatial trends
Temporal trends
Complexity
Medium
Media Emphasized
Biological
Soils/Sediment
Surface Water
Media Subcategory
Special Topics
Identifying outliers