Environmental Statistics Methods and Applications

ISBN-10: 0471489719
ISBN-13: 9780471489719
Edition: 2004
Authors: Vic Barnett
List price: $156.00 Buy it from $75.36
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Description: Unlike other areas of statistics, the environmental statistician has had to adapt and develop new approaches as well as learning the relevant statistical techniques for broad subject areas. Despite this demanding challenge, there are few helpful  More...

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Book details

List price: $156.00
Copyright year: 2004
Publisher: John Wiley & Sons, Incorporated
Publication date: 1/16/2004
Binding: Hardcover
Pages: 318
Size: 6.00" wide x 9.00" long x 0.75" tall
Weight: 1.298
Language: English

Unlike other areas of statistics, the environmental statistician has had to adapt and develop new approaches as well as learning the relevant statistical techniques for broad subject areas. Despite this demanding challenge, there are few helpful references available. This book will fulfill this need.

Preface
Introduction
Tomorrow is too Late!
Environmental Statistics
Some Examples
'Getting it all together'
'In time and space'
'Keep it simple'
'How much can we take?'
'Over the top'
Fundamentals
Bibliography
Extremal Stresses: Extremes, Outliers, Robustness
Ordering and Extremes: Applications, models, inference
Ordering the Sample
Order statistics
Order-based Inference
Extremes and Extremal Processes
Practical study and empirical models; generalized extreme-value distributions
Peaks over Thresholds and the Generalized Pareto Distribution
Outliers and Robustness
What is an Outlier?
Outlier Aims and Objectives
Outlier-Generating Models
Discordancy and models for outlier generation
Tests of discordancy for specific distributions
Multiple Outliers: Masking and Swamping
Accommodation: Outlier-Robust Methods
A Possible New Approach to Outliers
Multivariate Outliers
Detecting Multivariate Outliers
Principles
Informal methods
Tests of Discordancy
Accommodation
Outliers in linear models
Robustness in General
Collecting environmental data: Sampling and monitoring
Finite-Population Sampling
A Probabilistic Sampling Scheme
Simple Random Sampling
Estimating the mean, X
Estimating the variance, S[superscript 2]
Choice of sample size, n
Estimating the population total, X[subscript T]
Estimating a proportion, P
Ratios and Ratio Estimators
The estimation of a ratio
Ratio estimator of a population total or mean
Stratified (simple) Random Sampling
Comparing the simple random sample mean and the stratified sample mean
Choice of sample sizes
Comparison of proportional allocation and optimum allocation
Optimum allocation for estimating proportions
Developments of Survey Sampling
Inaccessible and Sensitive Data
Encountered Data
Length-Biased or Size-Biased Sampling and Weighted Distributions
Weighted distribution methods
Composite Sampling
Attribute Sampling
Continuous variables
Estimating mean and variance
Ranked-Set Sampling
The ranked-set sample mean
Optimal estimation
Ranked-set sampling for normal and exponential distributions
Imperfect ordering
Sampling in the Wild
Quadrat Sampling
Recapture Sampling
The Petersen and Chapman estimators
Capture-recapture methods in open populations
Transect Sampling
The simplest case: strip transects
Using a detectability function
Estimating f(y)
Modifications of approach
Point transects or variable circular plots
Adaptive Sampling
Simple models for adaptive sampling
Examining environmental effects: Stimulus--response relationships
Relationship: regression-type models and methods
Linear Models
The linear model
The extended linear model
The normal linear model
Transformations
Looking at the data
Simple transformations
General transformations
The Generalized Linear Model
Special Relationship Models, Including Quantal Response and Repeated Measures
Toxicology Concerns
Quantal Response
Bioassay
Repeated Measures
Standards and Regulations
Environmental Standards
Introduction
The Statistically Verifiable Ideal Standard
Other sampling methods
Guard Point Standards
Standards Along the Cause-Effect Chain
A many-dimensional environment: Spatial and temporal processes
Time-Series Methods
Space and Time Effects
Time Series
Basic Issues
Descriptive Methods
Estimating or eliminating trend
Periodicities
Stationary time series
Time-Domain Models and Methods
Frequency-Domain Models and Methods
Properties of the spectral representation
Outliers in time series
Point Processes
The Poisson process
Other point processes
Spatial Methods for Environmental Processes
Spatial Point Process Models and Methods
The General Spatial Process
Predication, interpolation and kriging
Estimation of the variogram
Other forms of kriging
More about Standards Over Space and Time
Relationship
More about Spatial Models
Types of spatial model
Harmonic analysis of spatial processes
Spatial Sampling and Spatial Design
Spatial sampling
Spatial design
Spatial-Temporal Models and Methods
References
Index

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