Statistical Methods in Water Resources (Volume 49) (Studies in Environmental Science, Volume 49)

Helsel, D.R.

ISBN 10: 0444885285 / ISBN 13: 9780444885289

Edité par Elsevier Science, 1992

A propos de cet article

Page block firm and clean, binding unblemished, boards straight, without markings of any kind. Fine, like new condition. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010. N° de réf. du vendeur 1LAUHV002DPN

Détails bibliographiques

Titre : Statistical Methods in Water Resources (...

Éditeur : Elsevier Science

Date d'édition : 1992

Reliure : hardcover

Etat : LikeNew

A propos de ce titre

Synopsis :

Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources.The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies.The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.