Fuzzy Statistical Inferences Based on Fuzzy Random Variables

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.

List of contents

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

About the author

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

Summary

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.

Product details

• Authors: Gholamreza Hesamian, Gholamreza (Payame Noor University (Shah Hesamian
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 27.05.2024
• EAN: 9781032164533
• ISBN: 978-1-0-3216453-3
• No. of pages: 288
• Subjects: Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; MATHEMATICS / Probability & Statistics / General, MATHEMATICS / Applied, Probability & statistics, Applied mathematics, Probability and statistics