Fuzzy Statistical Inferences Based on Fuzzy Random Variables - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Statistical Inferences Based on Fuzzy Random Variables write by Gholamreza Hesamian. This book was released on 2022-02-24. Fuzzy Statistical Inferences Based on Fuzzy Random Variables available in PDF, EPUB and Kindle. 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.
Fuzzy Statistical Inferences Based on Fuzzy Random Variables
Fuzzy Statistical Inferences Based on Fuzzy Random Variables - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Statistical Inferences Based on Fuzzy Random Variables write by Gholamreza Hesamian. This book was released on 2022-02-24. Fuzzy Statistical Inferences Based on Fuzzy Random Variables available in PDF, EPUB and Kindle. 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.
Fuzzy Statistical Decision-Making
Fuzzy Statistical Decision-Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Statistical Decision-Making write by Cengiz Kahraman. This book was released on 2016-07-15. Fuzzy Statistical Decision-Making available in PDF, EPUB and Kindle. This book offers a comprehensive reference guide to fuzzy statistics and fuzzy decision-making techniques. It provides readers with all the necessary tools for making statistical inference in the case of incomplete information or insufficient data, where classical statistics cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including: fuzzy probability distributions, fuzzy frequency distributions, fuzzy Bayesian inference, fuzzy mean, mode and median, fuzzy dispersion, fuzzy p-value, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on fuzzy statistics. Moreover, by extending all the main aspects of classical statistical decision-making to its fuzzy counterpart, the book presents a dynamic snapshot of the field that is expected to stimulate new directions, ideas and developments.
On Random Fuzzy Variables of Second Order and Their Application to Linear Statistical Inference with Fuzzy Data
On Random Fuzzy Variables of Second Order and Their Application to Linear Statistical Inference with Fuzzy Data - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook On Random Fuzzy Variables of Second Order and Their Application to Linear Statistical Inference with Fuzzy Data write by Wolfgang Näther. This book was released on 2000. On Random Fuzzy Variables of Second Order and Their Application to Linear Statistical Inference with Fuzzy Data available in PDF, EPUB and Kindle.
Fuzzy Probability and Statistics
Fuzzy Probability and Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Probability and Statistics write by James J. Buckley. This book was released on 2008-09-12. Fuzzy Probability and Statistics available in PDF, EPUB and Kindle. This book combines material from our previous books FP (Fuzzy Probabilities: New Approach and Applications,Physica-Verlag, 2003) and FS (Fuzzy Statistics, Springer, 2004), plus has about one third new results. From FP we have material on basic fuzzy probability, discrete (fuzzy Poisson,binomial) and continuous (uniform, normal, exponential) fuzzy random variables. From FS we included chapters on fuzzy estimation and fuzzy hypothesis testing related to means, variances, proportions, correlation and regression. New material includes fuzzy estimators for arrival and service rates, and the uniform distribution, with applications in fuzzy queuing theory. Also, new to this book, is three chapters on fuzzy maximum entropy (imprecise side conditions) estimators producing fuzzy distributions and crisp discrete/continuous distributions. Other new results are: (1) two chapters on fuzzy ANOVA (one-way and two-way); (2) random fuzzy numbers with applications to fuzzy Monte Carlo studies; and (3) a fuzzy nonparametric estimator for the median.
