Statistical Methods for Groundwater Monitoring

From Book News, Inc.
Many environmental policies are based on the monitoring of groundwater to determine if and how much hazardous waste is being released from a storage facility, even though the interpretation of measurements is based on inappropriate statistical models. Each of the chapters here begins with an overview of one aspect of the problem, then presents increasingly complex statistical solutions. The clustering of chapters indicates the interrelation of the various problems, such as nonparametric prediction intervals, practical quantitation limits, censored data, and detecting outliers. Annotation copyright Book News, Inc. Portland, Or.


Book Description
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.


Book Info
Overall purpose of this text is to examine multiple problems inherent in the analysis of groundwater monitoring data and to illustrate their application and interconnection. DLC: Groundwater - Pollution - Measurement - Statis methods.


The publisher, John Wiley & Sons
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.


Buy from Amazon     Compare Prices

Many environmental policies are based on the monitoring of groundwater to determine if and how much hazardous waste is being released from a storage facility, even though the interpretation of measurements is based on inappropriate statistical models. Each of the chapters here begins with an overview of one aspect of the problem, then presents increasingly complex statistical solutions. The clustering of chapters indicates the interrelation of the various problems, such as nonparametric prediction intervals, practical quantitation limits, censored data, and detecting outliers. Annotation c. Book News, Inc., Portland, OR (booknews.com)


Buy from Barnes & Noble     Compare Prices