The Signed Distance Measure in Fuzzy Statistical Analysis - Theoretical, Empirical and Programming Advances (Hardcover, 1st ed. 2021)

The main focus of this book is on presenting advances in fuzzy statistics, and on proposing a methodology for testing hypotheses in the fuzzy environment based on the estimation of fuzzy confidence intervals, a context in which not only the data but also the hypotheses are considered to be fuzzy. The proposed method for estimating these intervals is based on the likelihood method and employs the bootstrap technique. A new metric generalizing the signed distance measure is also developed. In turn, the book presents two conceptually diverse applications in which defended intervals play a role: one is a novel methodology for evaluating linguistic questionnaires developed at the global and individual levels; the other is an extension of the multi-ways analysis of variance to the space of fuzzy sets. To illustrate these approaches, the book presents several empirical and simulation-based studies with synthetic and real data sets. In closing, it presents a coherent R package called "FuzzySTs" which covers all the previously mentioned concepts with full documentation and selected use cases. Given its scope, the book will be of interest to all researchers whose work involves advanced fuzzy statistical methods.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Fuzzy Management Methods
Release date:	November 2021
First published:	2021
Authors:	Redina Berkachy
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	346
Edition:	1st ed. 2021
ISBN-13:	978-3-03-076915-4
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
LSN:	3-03-076915-1
Barcode:	9783030769154

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