Fuzzy Statistical Inferences Based on Fuzzy Random Variables

9781032162225: Fuzzy Statistical Inferences Based on Fuzzy Random Variables
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  • PublisherChapman and Hall/CRC
  • Publication date2022
  • ISBN 10 1032162228
  • ISBN 13 9781032162225
  • BindingUnknown Binding
  • Edition number1
  • Number of pages312

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Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents the most commonly used techniques for the most statistical inferences based on fuzzy data. It brings together many of the main ideas used instatistical inferences in one place, based on fuzzy information including fuzzy data. This book covers a much wider range of topics than a typical introductory text on fuzzy statistics. It includes common topics like elementary probability, descriptive statistics, hypothesis tests, one-way ANOVA, control-charts, reliability systems and regression models. The reader is assumed to know calculus and a little fuzzy set theory. The conventional knowledge of probability and statistics is required.Key Features:Includes example in Mathematica and MATLAB.Contains theoretical and applied exercises for each section.Presents various popular methods for analyzing fuzzy data.The book is suitable for students and researchers in statistics, social science, engineering, and economics, and it can be used at graduate and P.h.D level. 312 pp. Englisch. Seller Inventory # 9781032162225

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Book Description Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents the most commonly used techniques for the most statistical inferences based on fuzzy data. It brings together many of the main ideas used instatistical inferences in one place, based on fuzzy information including fuzzy data. This book covers a much wider range of topics than a typical introductory text on fuzzy statistics. It includes common topics like elementary probability, descriptive statistics, hypothesis tests, one-way ANOVA, control-charts, reliability systems and regression models. The reader is assumed to know calculus and a little fuzzy set theory. The conventional knowledge of probability and statistics is required.Key Features:Includes example in Mathematica and MATLAB.Contains theoretical and applied exercises for each section.Presents various popular methods for analyzing fuzzy data.The book is suitable for students and researchers in statistics, social science, engineering, and economics, and it can be used at graduate and P.h.D level. Seller Inventory # 9781032162225

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