Statistical Procedures for Analysis of Environmental Monitoring Data and Risk Assessment / Edition 1

Statistical Procedures for Analysis of Environmental Monitoring Data and Risk Assessment / Edition 1

by Edward A. McBean, Frank Rovers, Rovers
     
 

ISBN-10: 0136750184

ISBN-13: 9780136750185

Pub. Date: 07/02/1998

Publisher: Prentice Hall Professional Technical Reference

For students and professionals in environmental, civil, and mechanical engineering, few tasks are as challenging as statistical analysis and interpretation.

In this book, two leaders in the field address these challenges head-on. They introduce each leading statistical analysis technique, downplaying mathematical notation in favor of sample environmental

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Overview

For students and professionals in environmental, civil, and mechanical engineering, few tasks are as challenging as statistical analysis and interpretation.

In this book, two leaders in the field address these challenges head-on. They introduce each leading statistical analysis technique, downplaying mathematical notation in favor of sample environmental applications and explanations that make sense to non-statisticians. They also address common problems in data interpretation: small data sets; the need to correlate constituents to infill missing data or identify outliers; creating early warning systems with fewer "false positives", handling noise, and assessing risk.

Coverage includes:

  • Characterizing environmental quality data with Normal, Lognormal, and other distributions.
  • Characterizing coincident behavior using regression, correlation and multiple regression.
  • Multiple comparisons using ANOVA and associated parametric analysis techniques.
  • Testing differences between monitoring records when censored data records exist.
  • Focuses on "real-world" situations where data sets may be imperfect.

Reflecting decades of experience in the field, the authors also show how to use statistical analysis as the input to realistic risk assessment. In particular, they demonstrate simulation procedures for risk characterization, using sampling methodologies from probability distributions of data. Whether you are concerned with issues of air quality, surface water, groundwater, or soil contamination, the techniques covered in this book will be invaluable.

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Product Details

ISBN-13:
9780136750185
Publisher:
Prentice Hall Professional Technical Reference
Publication date:
07/02/1998
Series:
Prentice Hall Environmental Series
Edition description:
BK&DISK
Pages:
336
Product dimensions:
7.31(w) x 9.58(h) x 1.26(d)

Table of Contents

Preface
Ch. 1Characteristics of Environmental Quality Data1
Ch. 2Statistical Characterizations of Data12
Ch. 3The Normal or Gaussian Distribution40
Ch. 4The Lognormal Distribution71
Ch. 5Additional Useful Distributions for Characterizing Environmental Quality Data83
Ch. 6Identification of System Changes and Outliers Using Control Charts and Simple Procedures98
Ch. 7Characterizing Coincident Behavior - Regression and Correlation129
Ch. 8Testing Differences between Monitoring Records: Differences Between Two Locations for Single Constituents162
Ch. 9Multiple Comparisons Using Parametric Analyses204
Ch. 10Testing Differences between Monitoring Records When Censored Data Records Exist222
Ch. 11Nonparametric Procedures243
Ch. 12Risk Assessment and Data Management260
Appendix283
Index307

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