Fuzzy Statistical Inferences Based on Fuzzy Random Variables 1st Edition
by Gholamreza Hesamian
Publisher finelybook 出版社: Chapman and Hall/CRC; 1st edition (February 25, 2022)
Language 语言: English
Print Length 页数: 288 pages
ISBN-10: 1032162228
ISBN-13: 9781032162225
Book Description
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 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.
