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Statistical methods for groundwater monitoring

A new edition of the most comprehensive overview of statistical methods for environmental monitoring applications. Thoroughly updated to provide current research findings, Statistical Methods for Groundwater Monitoring, Second Edition continues to provide a comprehensive overview and accessible trea...

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Bibliographic Details
Main Authors: Gibbons, Robert D., 1955-
Group Author: Bhaumik, Dulal K.; Aryal, Subhash.
Published:
Literature type: Electronic eBook
Language: English
Edition: 2nd ed. /
Series: Statistics in practice
Subjects:
Groundwater > Pollution > Measurement > Statistical methods.
TECHNOLOGY & ENGINEERING > Water Supply. > Water Supply.
Groundwater > Statistical methods. > Statistical methods. > Statistical methods.
Electronic books.
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470549933
Summary: A new edition of the most comprehensive overview of statistical methods for environmental monitoring applications. Thoroughly updated to provide current research findings, Statistical Methods for Groundwater Monitoring, Second Edition continues to provide a comprehensive overview and accessible treatment of the statistical methods that are useful in the analysis of environmental data. This new edition expands focus on statistical comparison to regulatory standards that are a vital part of assessment, compliance, and corrective action monitoring in the environmental sciences. The book explores.
Carrier Form: 1 online resource.
Bibliography: Includes bibliographical references and index.
ISBN: 0470549920 (electronic bk.)
9780470549926 (electronic bk.)
Index Number: TD426
CLC: X523
Contents: STATISTICAL METHODS FOR GROUNDWATER MONITORING; CONTENTS; Preface; Acknowledgments; Acronyms; 1 NORMAL PREDICTION INTERVALS; 2 NONPARAMETRIC PREDICTION INTERVALS; 3 PREDICTION INTERVALS FOR OTHER DISTRIBUTIONS; 4 GAMMA PREDICTION INTERVALS AND SOME RELATED TOPICS; 5 TOLERANCE INTERVALS; 6 METHOD DETECTION LIMITS; 7 PRACTICAL QUANTITATION LIMITS; 8 INTERLABORATORY CALIBRATION; 9 CONTAMINANT SOURCE ANALYSIS; 10 INTRA-WELL COMPARISON; 11 TREND ANALYSIS; 12 CENSORED DATA; 13 NORMAL PREDICTION LIMITS FOR LEFT-CENSORED DATA; 14 TESTS FOR DEPARTURE FROM NORMALITY; 15 VARIANCE COMPONENT MODELS.

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