Manly Statistics for Environmental Science and Management, Second Edition

2. Auflage 2011
ISBN: 978-1-4398-7812-5
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 310 Seiten

Reihe: Chapman & Hall/CRC Applied Environmental Statistics

Revised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find so many important environmental topics covered in one book. Its strength is author Bryan Manly’s ability to take a non-mathematical approach while keeping essential mathematical concepts intact. He clearly explains statistics without dwelling on heavy mathematical development.

The book begins by describing the important role statistics play in environmental science. It focuses on how to collect data, highlighting the importance of sampling and experimental design in conducting rigorous science. It presents a variety of key topics specifically related to environmental science such as monitoring, impact assessment, risk assessment, correlated and censored data analysis, to name just a few.
Revised, updated or expanded material on:

- Data Quality Objectives

- Generalized Linear Models

- Spatial Data Analysis

- Censored Data

- Monte Carlo Risk Assessment

There are numerous books on environmental statistics; however, while some focus on multivariate methods and others on the basic components of probability distributions and how they can be used for modeling phenomenon, most do not include the material on sampling and experimental design that this one does. It is the variety of coverage, not sacrificing too much depth for breadth, that sets this book apart.

Zielgruppe

Researchers, practitioners, students, and applied statisticians in the environmental sciences.

Autoren/Hrsg.

Manly, Bryan F.J.

Fachgebiete

• Geowissenschaften Umweltwissenschaften Umweltwissenschaften
• Geowissenschaften Umweltwissenschaften Umwelttechnik
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Umwelttechnik
• Mathematik | Informatik Mathematik Stochastik

Inhaltsverzeichnis

The Role of Statistics in Environmental Science
Introduction
Some Examples
The Importance of Statistics in the Examples
Chapter Summary
Exercises

Environmental Sampling
Introduction
Simple Random Sampling
Estimation of Population Means
Estimation of Population Totals
Estimation of Proportions
Sampling and Nonsampling Errors
Stratified Random Sampling
Post-Stratification
Systematic Sampling
Other Design Strategies
Ratio Estimation
Double Sampling0
Choosing Sample Sizes1
Unequal-Probability Sampling
The Data Quality Objectives Process
Chapter Summary
Exercises

Models for Data
Statistical Models
Discrete Statistical Distributions
Continuous Statistical Distributions
The Linear Regression Model8
Factorial Analysis of Variance
Generalized Linear Models
Chapter Summary
Exercises

Drawing Conclusions from Data
Introduction
Observational and Experimental Studies
True Experiments and Quasi-Experiments
Design-Based and Model-Based Inference
Tests of Significance and Confidence Intervals
Randomization Tests
Bootstrapping
Pseudoreplication
Multiple Testing
Meta-Analysis
Bayesian Inference
Chapter Summary
Exercises

Environmental Monitoring
Introduction
Purposely Chosen Monitoring Sites
Two Special Monitoring Designs6
Designs Based on Optimization
Monitoring Designs Typically Used
Detection of Changes by Analysis of Variance
Detection of Changes Using Control Charts
Detection of Changes Using CUSUM Charts
Chi-Squared Tests for a Change in a Distribution
Chapter Summary
Exercises

Impact Assessment
Introduction
The Simple Difference Analysis with BACI Designs
Matched Pairs with a BACI Design.
Impact-Control Designs
Before–After Designs
Impact-Gradient Designs
Inferences from Impact Assessment Studies
Chapter Summary
Exercises

Assessing Site Reclamation
Introduction
Problems with Tests of Significance
The Concept of Bioequivalence
Two-Sided Tests of Bioequivalence
Chapter Summary
Exercises

Time Series Analysis
Introduction
Components of Time Series
Serial Correlation
Tests for Randomness
Detection of Change Points and Trends
More-Complicated Time Series Models
Frequency Domain Analysis
Forecasting
Chapter Summary
Exercises

Spatial-Data Analysis
Introduction
Types of Spatial Data
Spatial Patterns in Quadrat Counts
Correlation between Quadrat Counts
Randomness of Point Patterns
Correlation between Point Patterns
Mantel Tests for Autocorrelation
The Variogram
Kriging
Correlation between Variables in Space
Chapter Summary
Exercises

Censored Data
Introduction
Single Sample Estimation
Estimation of Quantiles
Comparing the Means of Two or More Samples
Regression with Censored Data
Chapter Summary
Exercises

Monte Carlo Risk Assessment
Introduction
Principles for Monte Carlo Risk Assessment
Risk Analysis Using a Spreadsheet
Chapter Summary
Exercises

Final Remarks
Appendices
References
Index