Gholamreza Hesamian

Fuzzy Statistical Inferences Based on Fuzzy Random Variables

• Broschiertes Buch

Produktbeschreibung

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 statistical 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.

Produktdetails

• Verlag: Taylor & Francis Ltd (Sales)
• Seitenzahl: 288
• Erscheinungstermin: 27. Mai 2024
• Englisch
• Abmessung: 234mm x 156mm x 17mm
• Gewicht: 440g
• ISBN-13: 9781032164533
• ISBN-10: 1032164530
• Artikelnr.: 70359284

Autorenporträt

Gholamreza Hesamian is associate professor of Statistics at Payame Noor University, Iran. His research areas include decision theory, probability theory, fuzzy mathematics and statistics.

Inhaltsangabe

1. Introduction 2. Probability of a fuzzy event 3. Descriptive statistics
based on fuzzy data 4. Probability reasoning based on fuzzy random variable
(FRV) 5. Fuzzy hypothesis testing for FRVs 6.Fuzzy quality control charts
and time dependent fuzzy system reliability analysis for FRVs 7. Regression
and time series models for FRVs

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1. Introduction 2. Probability of a fuzzy event 3. Descriptive statistics based on fuzzy data 4. Probability reasoning based on fuzzy random variable (FRV) 5. Fuzzy hypothesis testing for FRVs 6.Fuzzy quality control charts and time dependent fuzzy system reliability analysis for FRVs 7. Regression and time series models for FRVs

Rezensionen

"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 in statistical 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 of 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." - MathSciNet