Fuzzy Statistical Decision-making: Theory and Applications - Couverture rigide

9783319390123: Fuzzy Statistical Decision-making: Theory and Applications

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ISBN 10 : 3319390120 ISBN 13 : 9783319390123

Editeur : Springer International Publishing AG, 2016

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Preface.- Fuzzy Statistical Decision Making.- Fuzzy Probability Theory I: Discrete Case.- Fuzzy Probability Theory II: Continuous Case.- On Fuzzy Bayesian Inference.- Fuzzy Central Tendency Measures.- Fuzzy Dispersion Measures.- Sufficiency, Completeness, and Unbiasedness
based on Fuzzy Sample Space.- Fuzzy Confidence Regions.- Fuzzy Extensions of Confidence Intervals: Estimation for �, σ², and p .- Testing Fuzzy Hypotheses: A New p-value-based Approach.- Fuzzy Regression Analysis: An Actuarial Perspective.- Fuzzy Correlation and Fuzzy Non-Linear Regression Analysis.- Fuzzy Decision Trees.- Fuzzy Shewhart Control Charts.- Fuzzy EWMA and Fuzzy CUSUM Control Charts.- Linear Hypothesis Testing Based on Unbiased Fuzzy Estimators and Fuzzy Significance Level.- A Practical Application of Fuzzy Analysis of Variance in Agriculture.- A Survey of Fuzzy Data Mining Techniques.

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� propos de l?auteur

Prof. Kahraman received his BSc (1988), MSc (1990), and PhD (1996) degrees in Industrial Engineering from the Istanbul Technical University. His main research areas include engineering economics, quality management and control, statistical decision making, and fuzzy sets applications. He has published about 150 papers in international journals and more than 5 books with Springer. He has served as guest editor of many special issues of international journals and is presently the Head of the Industrial Engineering department of the Istanbul Technical University. Dr. �zg�r Kabak received his BSc (2001), MSc (2003), and PhD (2008) degrees in Industrial Engineering from the Istanbul Technical University. He is currently Assistant Professor of Industrial Engineering in the same University. His main research areas are fuzzy decision making, mathematical programming and statistical decision making.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteurSpringer International Publishing AG
Date d'�dition2016
ISBN 10 3319390120
ISBN 13 9783319390123
ReliureReli�
Langueanglais
Num�ro d'�dition1
Nombre de pages356
�diteurKahraman Cengiz, Kabak �zg�r
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9783319817934: Fuzzy Statistical Decision-Making: Theory and Applications

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ISBN 10 : 3319817930 ISBN 13 : 9783319817934
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Fuzzy Statistical Decision-Making

Kahraman, Cengiz|Kabak, �zg�r

Edit� par Springer International Publishing, 2016

ISBN 10 : 3319390120 ISBN 13 : 9783319390123

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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides readers with the necessary tools for making inference with fuzzy data Extends all the main aspects of classical statistical decision-making to its fuzzy counterpart Includes relevant numerical examples and case studiesPr. N� de r�f. du vendeur 120076361

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Fuzzy Statistical Decision-Making : Theory and Applications

�zg�r Kabak

Edit� par Springer International Publishing, 2016

ISBN 10 : 3319390120 ISBN 13 : 9783319390123

Neuf Couverture rigide

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments. N� de r�f. du vendeur 9783319390123

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Fuzzy Statistical Decision-Making

�zg�r Kabak

Edit� par Springer International Publishing Jul 2016, 2016

ISBN 10 : 3319390120 ISBN 13 : 9783319390123

Neuf Couverture rigide

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments. 368 pp. Englisch. N� de r�f. du vendeur 9783319390123

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