Using Statistical Methods for Water Quality Management: Issues, Problems and Solutions
Language: English
Published by Wiley, 2005
- Hardcover
- Used

Condition: Used - Very good
US$ 95.00
Quantity: 1 available
Add to basketItem description from seller
Cover corners are lightly worn. Spine is slightly shaken and lightly bumped, but binding is secure. Previous owner's name in ink on front endpaper. Pages are clean and unmarked.
Seller Inventory # 1138942
- Title
- Using Statistical Methods for Water Quality Management: Issues, Problems and Solutions
- Author
- Graham B. McBride
- Publisher
- Wiley
- Publication year
- 2005
- Condition
- Very good
- Dust jacket
- No jacket
- Binding
- Hard cover
- Language
- English
- ISBN 10
- 0471470163
- ISBN 13
- 9780471470168
- Seller catalogs
- Mathematics
A practical exploration of alternative approaches to analyzing water-related environmental issues
Written by an experienced environmentalist and recognized expert in the field, this text is designed to help water resource managers and scientists to formulate, implement, and interpret more effective methods of water quality management.
After presenting the basic foundation for using statistical methods in water resource management, including the use of appropriate hypothesis test procedures and some rapid calculation procedures, the author offers a range of practical problems and solutions on environmental topics that often arise, but are not generally covered.
These include:
* Formulating water quality standards
* Determining compliance with standards
* MPNs and microbiology
* Water-related, human health risk modeling
* Trends, impacts, concordance, and detection limits
In order to promote awareness of alternative approaches to analyzing data, both frequentist and Bayesian, statistical methods are contrasted in terms of their applicability to various environmental issues. Each chapter ends with a number of set problems for which full answers are provided. The book also encourages discussion between technical staff and management before embarking on statistical studies.
"Synopsis" may belong to another edition of this title.
About the Author
"About the title" may belong to another edition of this title.
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