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Analyzing Environmental Data

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ISBN-10: 0470848367

ISBN-13: 9780470848364

Edition: 2005

Authors: Walter W. Piegorsch, A. John Bailer, Frank Van Harmelen

List price: $104.00
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Description:

This text provides an introduction to intermediate and advanced methods for environmental data analysis. It prepares students for careers in environmental analysis centred on statistics and allied quantitative methods of evaluation.
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Book details

List price: $104.00
Copyright year: 2005
Publisher: John Wiley & Sons, Incorporated
Publication date: 3/4/2005
Binding: Hardcover
Pages: 512
Size: 6.95" wide x 9.82" long x 1.31" tall
Weight: 2.2

Preface
Linear regression
Simple linear regression
Multiple linear regression
Qualitative predictors: Anova and Ancova models
Random-effects models
Polynomial regression
Exercises
Nonlinear regression
Estimation and testing
Piecewise regression models
Exponential regression models
Growth curves
Rational polynomials
Multiple nonlinear regression
Exercises
Generalized linear models
Generalizing the classical linear model
Theory of generalized linear models
Specific forms of generalized linear models
Exercises
Quantitative risk assessment with stimulus-response data
Potency estimation for stimulus-response data
Risk estimation
Benchmark analysis
Uncertainty analysis
Sensitivity analysis
Additional topics
Exercises
Temporal data and autoregressive modeling
Time series
Harmonic regression
Autocorrelation
Autocorrelated regression models
Simple trend and intervention analysis
Growth curves revisited
Exercises
Spatially correlated data
Spatial correlation
Spatial point patterns and complete spatial randomness
Spatial measurement
Spatial prediction
Exercises
Combining environmental information
Combining P-values
Effect size estimation
Meta-analysis
Historical control information
Exercises
Fundamentals of environmental sampling
Sampling populations - simple random sampling
Designs to extend simple random sampling
Specialized techniques for environmental sampling
Exercises
Review of probability and statistical inference
Probability functions
Families of distributions
Random sampling
Parameter estimation
Statistical inference
The delta method
Tables
References
Author index
Subject index