Statistics For Environmental Science And Management / Edition 1by Bryan F.J. Manly, Bryan F. J. Manly
The use of appropriate statistical methods is essential when working with environmental data. Yet, many environmental professionals are not statisticians. A ready reference guide to the most common methods used in environmental applications, Statistics for Environmental Science and Management introduces the statistical methods most frequently used by environmental… See more details below
The use of appropriate statistical methods is essential when working with environmental data. Yet, many environmental professionals are not statisticians. A ready reference guide to the most common methods used in environmental applications, Statistics for Environmental Science and Management introduces the statistical methods most frequently used by environmental scientists, managers, and students.
Using a non-mathematical approach, the author describes techniques such as: environmental monitoring, impact assessment, assessing site reclamation, censored data, and Monte Carlo risk assessment, as well as the key topics of time series and spatial data. The book shows the strengths of different types of conclusions available from statistical analyses. It contains internet sources of information that give readers access to the latest information on specific topics.
The author's easy to understand style makes the subject matter accessible to anyone with a rudimentary knowledge of the basics of statistics while emphasizing how the techniques are applied in the environmental field. Clearly and copiously illustrated with line drawings and tables, Statistics for Environmental Science and Management covers all the statistical methods used with environmental applications and is suitable as a text for graduate students in the environmental science area.
- Taylor & Francis
- Publication date:
- Chapman & Hall/CRC Applied Environmental Statistics Series
- Edition description:
- Older Edition
- Product dimensions:
- 0.71(w) x 6.14(h) x 9.21(d)
Table of Contents
THE ROLE OF STATISTICS IN ENVIRONMENTAL SCIENCE Some Examples The Importance of Statistics in the Examples
ENVIRONMENTAL SAMPLING Simple Random Sampling Estimation of Population Means Estimation of Population Totals Estimation of Proportions Sampling and Non-Sampling 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
MODELS FOR DATA Statistical Models Discrete Statistical Distributions Continuous Statistical Distributions The Linear Regression Model Factorial Analysis of Variance Generalized Linear Models
DRAWING CONCLUSIONS FROM DATA 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
ENVIRONMENTAL MONITORING 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
IMPACT ASSESSMENT The Simple Difference Anlysis with BACI Designs Matched Pairs with a BACI Design Impact-Control Designs Before-After Designs Impact-Gradient Designs Inferences from Impact Assessment Studies
ASSESSING SITE RECLAMATION Problems with Tests of Significance The Concept of Bioequivalence Two-Sided Tests of Bioequivalence
TIME SERIES ANALYSIS Components of Time Series Serial Correlation Tests for Randomness Detection of Change Points and trends More Complicated Time Se
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