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Statistics for Enviromental Science and Management

ISBN-10: 142006147X
ISBN-13: 9781420061475
Edition: 2nd 2008 (Revised)
List price: $92.95
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Description: Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated  More...

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Book details

List price: $92.95
Edition: 2nd
Copyright year: 2008
Publisher: CRC Press LLC
Publication date: 10/21/2008
Binding: Hardcover
Pages: 310
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 1.232
Language: English

Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation, and drawing conclusions from data.

Preface to the Second Edition
Preface to the First Edition
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 Sampling
Choosing Sample Sizes
Unequal-Probability Sampling
The Data Quality Objectives Process
Chapter Summary
Exercises
Models for Data
Statistical Models
Discrete Statistical Distributions
The Hypergeometric Distribution
The Binomial Distribution
The Poisson Distribution
Continuous Statistical Distributions
The Exponential Distribution
The Normal or Gaussian Distribution
The Lognormal Distribution
The Linear Regression Model
Factorial Analysis of Variance
One-Factor Analysis of Variance
Two-Factor Analysis of Variance
Three-Factor Analysis of Variance
Repeated-Measures Designs
Multiple Comparisons and Contrasts
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 Designs
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

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