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Fuzzy Statistical Inferences Based on Fuzzy Random Variables (eBook, PDF) - Hesamian, Gholamreza
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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.

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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.


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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.
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