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Fundamentals of Statistics With Fuzzy Data

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Fundamentals of Statistics With Fuzzy Data Synopsis

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.

About This Edition

ISBN: 9783540316954
Publication date: 20th March 2006
Author: Hung T Nguyen, Berlin Wu
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Hardback
Pagination: 195 pages
Series: Studies in Fuzziness and Soft Computing
Genres: Probability and statistics
Stochastics
Maths for engineers
Artificial intelligence
Applied mathematics