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