E-Book, Englisch, 256 Seiten
Splitstone / Ginevan Statistical Tools for Environmental Quality Measurement
1. Auflage 2003
ISBN: 978-0-203-49689-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 256 Seiten
Reihe: Chapman & Hall/CRC Applied Environmental Statistics
ISBN: 978-0-203-49689-3
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By doing this they will be able to make sound decisions in their efforts to solve environmental problems. They need a detailed reference that points out the subtle differences between statistical procedures, making clear what procedure to use when trying to find the answer to a specific problem.
Statistical Tools for Environmental Quality Measurement provides a detailed review of statistical tools used in analyzing and addressing environmental issues. This book examines commonly-used techniques found in USEPA guidelines and discusses their potential impact on decision-making. The authors are not constrained by statistical formalism; they advise when to go outside of standard statistical models when making difficult decisions. The content is presented in a practical style that prioritizes methods that work, based upon the authors' extensive experience.
The text points out that simplicity facilitates effective communication of an analysis and decision to a "consumer" of statistics. The book emphasizes the exact question that each procedure addresses, so that environmental scientists and engineers can clearly identify precisely the question they want to ask, and correctly interpret the results.
Features
Zielgruppe
Biostatisticians; engineers and scientists involved in the measurement of environmental quality
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Preface
Sample Support and Related Scale Issues in Sampling and Sampling Design
Basic Tools and Concepts-Description of Data
Hypothesis Testing
Correlation and Regression
Tools for Dealing with Censored Data
The Promise of the Bootstrap
Tools for the Analysis of Spatial Data
Tools for the Analysis of Temporal Data
