Statistical Tools for Environmental Quality Measurement
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A01=Douglas E. Splitstone
A01=Michael E. Ginevan
ANOVA Table
ARIMA Model
Author_Douglas E. Splitstone
Author_Michael E. Ginevan
Bootstrap Distribution
Bootstrap Sample
Category=KNA
Co-located Monitors
Composite Sample
Cumulative Distribution Function
Empirical Cumulative Distribution Function
EPA Guidance
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fiducial Interval
Hourly PM10
Hourly PM10 Concentration
Log Normal Model
Partial Autocorrelation Function
PCB Contamination
PM10 Concentration
Ra226 Concentration
Ra226 Ratio
Semi-variogram Models
Semivariogram Models
Single Monitoring Site
Source DF SS MS
TCDD
Thiessen Polygons
Total DDT
Product details
- ISBN 9781032477930
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 21 Mar 2023
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
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When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By doing this they will be able to make sound decisions in their efforts to solve environmental problems. They need a detailed reference that points out the subtle differences between statistical procedures, making clear what procedure to use when trying to find the answer to a specific problem.
Statistical Tools for Environmental Quality Measurement provides a detailed review of statistical tools used in analyzing and addressing environmental issues. This book examines commonly-used techniques found in USEPA guidelines and discusses their potential impact on decision-making. The authors are not constrained by statistical formalism; they advise when to go outside of standard statistical models when making difficult decisions. The content is presented in a practical style that prioritizes methods that work, based upon the authors' extensive experience.
The text points out that simplicity facilitates effective communication of an analysis and decision to a "consumer" of statistics. The book emphasizes the exact question that each procedure addresses, so that environmental scientists and engineers can clearly identify precisely the question they want to ask, and correctly interpret the results.
Douglas E. Splitstone, Michael E. Ginevan
