9783030769185 - the signed distance measure in fuzzy statistical analysis: theoretical, empirical and programming advances (fuzzy management methods) von berkachy, rédina (7 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2022
Serie: Fuzzy Management Methods, Buch 11 von 12. Buch 11 von 12 - Fuzzy Management Methods
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Sprache: Englisch
Verlag: Springer, 2022
Serie: Fuzzy Management Methods, Buch 11 von 12. Buch 11 von 12 - Fuzzy Management Methods
- Softcover
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Zustand: Gut. Zustand: Gut | Seiten: 372 | Sprache: Englisch | Produktart: Bücher | 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.
Sprache: Englisch
Verlag: Springer, 2022
Serie: Fuzzy Management Methods, Buch 11 von 12. Buch 11 von 12 - Fuzzy Management Methods
- Softcover
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 372 | Sprache: Englisch | Produktart: Bücher | 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.
Sprache: Englisch
Verlag: Springer, 2022
Serie: Fuzzy Management Methods, Buch 11 von 12. Buch 11 von 12 - Fuzzy Management Methods
- Softcover
Anbieter: Buchpark, Trebbin, DeutschlandBuchpark
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Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 372 | Sprache: Englisch | Produktart: Bücher | 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.
Weitere BilderSprache: Englisch
Verlag: Springer, 2022
Serie: Fuzzy Management Methods, Buch 11 von 12. Buch 11 von 12 - Fuzzy Management Methods
- Softcover
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Taschenbuch. Zustand: Neu. The Signed Distance Measure in Fuzzy Statistical Analysis | Theoretical, Empirical and Programming Advances | Rédina Berkachy | Taschenbuch | Fuzzy Management Methods | xxiii | Englisch | 2022 | Springer | EAN 9783030769185 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 6…9121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer, 2022
Serie: Fuzzy Management Methods, Buch 11 von 12. Buch 11 von 12 - Fuzzy Management Methods
- Softcover
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Paperback. Zustand: Brand New. 369 pages. 9.25x6.10x0.91 inches. In Stock.
Sprache: Englisch
Verlag: Springer, 2022
Serie: Fuzzy Management Methods, Buch 11 von 12. Buch 11 von 12 - Fuzzy Management Methods
- Softcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
