Statistical methods for groundwater monitoring / Robert D. Gibbons.

By: Gibbons, Robert D, 1955- [author.]
Language: English Publisher: Hoboken, New Jersey : John Wiley & Sons, Inc., c1994Description: 1 online resource (304 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9780471587071 ; 9780470172940 (epub)Subject(s): Groundwater -- Pollution -- Measurement -- Statistical methodsGenre/Form: Electronic books.DDC classification: 628.161 LOC classification: TD426 | .G52 1994Online resources: Full text available at Wiley Online Library Click here to view
Contents:
Normal Prediction Intervals. Nonparametric Prediction Intervals. Prediction Intervals for Other Distributions. Tolerance Intervals. Method Detection Limits. Practical Quantitation Limits. Contaminant Source Analysis. Intrawell Comparisons. Trend Analysis. Censored Data. Tests for Departure from Normality. Variance Component Models. Detecting Outliers. Applications to Regulatory Issues. Summary. References. Index.
Summary: This book explains the statistical methods used to analyze the huge volume of data that groundwater monitoring wells produce in a comprehensive manner accessible to engineers and scientists who may not have a strong background in statistics. In addition, the book provides statistical methods to make the most accurate use of the data and shows how to set up an effective monitoring system.
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Item type Current location Home library Call number Status Date due Barcode Item holds
EBOOK EBOOK COLLEGE LIBRARY
COLLEGE LIBRARY
LIC Gateway 		628.161 G3524 1994 (Browse shelf) Available CL-50530
Total holds: 0

ABOUT THE AUTHOR
ROBERT D. GIBBONS, PHD, is Director of the Center for Health Statistics; Professor of Biostatistics in the Division of Epidemiology and Biostatistics, School of Public Health; and Professor of Psychiatry in the College of Medicine, all at the University of Illinois at Chicago. He is a Fellow of the American Statistical Association and the author of numerous peer-reviewed papers.

Includes bibliographical references (p. 272-279) and index.

Normal Prediction Intervals.

Nonparametric Prediction Intervals.

Prediction Intervals for Other Distributions.

Tolerance Intervals.

Method Detection Limits.

Practical Quantitation Limits.

Contaminant Source Analysis.

Intrawell Comparisons.

Trend Analysis.

Censored Data.

Tests for Departure from Normality.

Variance Component Models.

Detecting Outliers.

Applications to Regulatory Issues.

Summary.

References.

Index.

This book explains the statistical methods used to analyze the huge volume of data that groundwater monitoring wells produce in a comprehensive manner accessible to engineers and scientists who may not have a strong background in statistics. In addition, the book provides statistical methods to make the most accurate use of the data and shows how to set up an effective monitoring system.

600-699 628

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