Statistical procedures for analysis of environmental monitoring data and risk assessment
著者
書誌事項
Statistical procedures for analysis of environmental monitoring data and risk assessment
（Prentice Hall PTR environmental management and engineering series）
Prentice Hall PTR, c1998
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
Appropriate for upper-level undergraduate and graduate level Engineering and Environmental Science courses in Probability and Statistics.
Carefully explains various statistical analysis procedures and techniques in clear, straightforward language. The book provides a foundation for statistically analyzing and interpreting environmental data for air quality, surface water quality, groundwater quality, and soil contamination.
目次
1. Characteristics of Environmental Quality Data.
I. STATISTICAL MEASURES AND DISTRIBUTIONS.
2. Statistical Characterizations of Data.
3. The Normal or Gaussian Distribution.
4. The Lognormal Distribution.
5. Additional Useful Distributions for Characterizing Environmental Quality Data.
II. IDENTIFYING SYSTEM CHANGES.
6. Identification of System Changes and Outliers Using Control Charts and Simple Procedures.
7. Characterizing Coincident Behavior - Regression and Correlation.
III. HYPOTHESIS TESTING OF ENVIRONMENTAL QUALITY.
8. Testing Difference Between Monitoring Records: Differences Between Two Locations for Single Constituents.
9. Multiple Comparisons Using Parametric Analyses.
10. Testing Differences Between Monitoring Records When Censored Data Records Exist.
11. Nonparametric Procedures.
IV. RISK.
12. Risk Assessment and Data Management.
Appendix.
Index.
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