logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Fuzzy Statistical Decisionmaking Theory And Applications 1st Edition Cengiz Kahraman

  • SKU: BELL-5606314
Fuzzy Statistical Decisionmaking Theory And Applications 1st Edition Cengiz Kahraman
$ 31.00 $ 45.00 (-31%)

4.7

66 reviews

Fuzzy Statistical Decisionmaking Theory And Applications 1st Edition Cengiz Kahraman instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 8.08 MB
Pages: 358
Author: Cengiz Kahraman, Özgür Kabak (eds.)
ISBN: 9783319390123, 9783319390147, 3319390120, 3319390147
Language: English
Year: 2016
Edition: 1

Product desciption

Fuzzy Statistical Decisionmaking Theory And Applications 1st Edition Cengiz Kahraman by Cengiz Kahraman, Özgür Kabak (eds.) 9783319390123, 9783319390147, 3319390120, 3319390147 instant download after payment.

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.

Related Products