Fundamentals of Statistics with Fuzzy Data
Published on 30. November 2010
Book
Paperback/Softback
X, 196 pages
978-3-642-06857-7 (ISBN)
Description
This research monograph presents basic foundational aspects for a theory of statistics with fuzzy data, together with a set of practical applications. Fuzzy data are modeled as observations from random fuzzy sets. Theories of fuzzy logic and of random closed sets are used as basic ingredients in building statistical concepts and procedures in the context of imprecise data, including coarse data analysis. The monograph also aims at motivating statisticians to look at fuzzy statistics to enlarge the domain of applicability of statistics in general.
Hung T. Nguyen is a professor of Mathematical Sciences at New Mexico State University, USA.
Berlin Wu is a professor of Mathematical Sciences at National Chengchi University, Taipei, Taiwan.
More details
Series
Edition
Softcover reprint of hardcover 1st ed. 2006
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
X, 196 p.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 12 mm
Weight
324 gr
ISBN-13
978-3-642-06857-7 (9783642068577)
DOI
10.1007/11353492
Schweitzer Classification
Other editions
Additional editions
Hung T. Nguyen | Berlin Wu
Fundamentals of Statistics with Fuzzy Data
Book
03/2006
Springer
€106.99
Shipment within 10-15 days
Persons
Content
Introduction.- Set-valued Data.- Modeling of fuzzy data.- Random fuzzy sets.- Aspect of statistical Inference.- Convergence of random fuzzy sets.- Fuzzy Statistical Analysis and Estimation.- Testing Hypothesis with Fuzzy Data.- Fuzzy Time Series Analysis and Forecasting.