Description
Statistical analysis methods have to be adapted for the analysis of fuzzy data. In this book, the foundations of the description of fuzzy data are explained, including methods on how to obtain the characterizing function of fuzzy measurement results. Furthermore, statistical methods are then generalized to the analysis of fuzzy data and fuzzy a-priori information.
Key Features:
- Provides basic methods for the mathematical description of fuzzy data, as well as statistical methods that can be used to analyze fuzzy data.
- Describes methods of increasing importance with applications in areas such as environmental statistics and social science.
- Complements the theory with exercises and solutions and is illustrated throughout with diagrams and examples.
- Explores areas such quantitative description of data uncertainty and mathematical description of fuzzy data.
This work is aimed at statisticians working with fuzzy logic, engineering statisticians, finance researchers, and environmental statisticians. It is written for readers who are familiar with elementary stochastic models and basic statistical methods.
About the Author
Reinhard Viertl is Professor of Applied Statistics at Vienna University of Technology.
Professor Viertl has been working on statistical analysis of fuzzy data for about 20 years. He is the author of various publications including 5 books and more than 100 papers.
Reviews
"I recommend this book to anyone interested in exploring new approaches to the extraction of information from novel data sources." (International Statistical Review, 2012)
Book Information
ISBN 9780470699454
Author Reinhard Viertl
Format Hardback
Page Count 268
Imprint John Wiley & Sons Inc
Publisher John Wiley & Sons Inc
Weight(grams) 476g
Dimensions(mm) 234mm * 155mm * 20mm
