Statistics for Environmental Science and Management

Bryan F. J. Manly

ISBN 10: 142006147X / ISBN 13: 9781420061475

Published by Taylor & Francis Ltd Okt 2008, 2008

About this Item

Neuware - Presenting a nonmathematical approach to this topic, Statistics for Environmental Science and Management introduces frequently used statistical methods and practical applications for the environmental field. This second edition features updated references and examples along with new and expanded material on data quality objectives, the generalized linear model, spatial data analysis, and Monte Carlo risk assessment. Additional topics covered include environmental monitoring, impact assessment, censored data, environmental sampling, the role of statistics in environmental science, assessing site reclamation, and drawing conclusions from data.

Seller Inventory # 9781420061475

Bibliographic Details

• Title: Statistics for Environmental Science and Management
• Publisher: Taylor & Francis Ltd Okt 2008
• Publication Date: 2008
• Language: English
• ISBN 10: 142006147X
• ISBN 13: 9781420061475
• Binding: Buch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 224W x 142H x 22D millimeters 224 millimeters width by 142 millimeters height by 22 millimeters depth
• Weight: 618 grams

About this title

Synopsis

Revised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find so many important environmental topics covered in one book. Its strength is author Bryan Manly’s ability to take a non-mathematical approach while keeping essential mathematical concepts intact. He clearly explains statistics without dwelling on heavy mathematical development.

The book begins by describing the important role statistics play in environmental science. It focuses on how to collect data, highlighting the importance of sampling and experimental design in conducting rigorous science. It presents a variety of key topics specifically related to environmental science such as monitoring, impact assessment, risk assessment, correlated and censored data analysis, to name just a few.

Revised, updated or expanded material on:

• Data Quality Objectives
• Generalized Linear Models
• Spatial Data Analysis
• Censored Data
• Monte Carlo Risk Assessment

There are numerous books on environmental statistics; however, while some focus on multivariate methods and others on the basic components of probability distributions and how they can be used for modeling phenomenon, most do not include the material on sampling and experimental design that this one does. It is the variety of coverage, not sacrificing too much depth for breadth, that sets this book apart.

About the Author

Bryan F.J. Manly