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Statistical Methods for Groundwater Monitoring
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Table of Contents

Preface xv Acknowledgments xxiii Acronyms xxv 1 Normal Prediction Intervals 1 2 Nonparametric Prediction Intervals 35 3 Prediction Intervals for Other Distributions 67 4 Gamma Prediction Intervals and Some Related Topics 77 5 Tolerance Intervals 97 6 Method Detection Limits 111 7 Practical Quantitation Limits 137 8 Interlaboratory Calibration 147 9 Contaminant Source Analysis 161 10 Intra-Well Comparison 191 11 Trend Analysis 205 12 Censored Data 217 13 Normal Prediction Limits for Left-Censored Data 245 14 Tests for Departure From Normality 257 15 Variance Component Models 281 16 Detecting Outliers 289 17 Surface Water Analysis 303 18 Assessment and Corrective Action Monitoring 317 19 Regulatory Issues 337 20 Summary 351 Topic Index 366

About the Author

Robert D. Gibbons, PhD , is Director of the Center for Health Statistics and Professor of Biostatistics and Psychiatry at the University of Illinois at Chicago. A Fellow of the American Statistical Association and member of the Institute of Medicine of the National Academy of Sciences, Dr. Gibbons has written more than 200 journal articles in the areas of statistics and psychometrics. He is the coauthor of Longitudinal Data Analysis and Statistical Methods for Detection and Quantification of Environmental Contamination , both published by Wiley. DULAL K. BHAUMIK, PhD , is Professor of Biostatistics, Psychiatry, and Bioengineering at the University of Illinois at Chicago. A Fellow of the American Statistical Association, Dr. Bhaumik has published more than fifty journal articles in his areas of research interest, which include environmental statistics, statistical problems in psychiatry, biostatistics, design of experiments, and statistical inference. SUBHASH ARYAL, PhD , is Assistant Professor of Biostatistics at the University of North Texas Health Science Center at Fort Worth. He has coauthored numerous published articles on statistics in the environmental sciences.

Reviews

"This book is an excellent supplementary text for courses on environmental statistics or reference for researchers and practitioners." (Book News, December 2009)

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