Testing fuzzy Hypothesis with application
Other Title(s)
اختبار الفرضيات الضبابية : بحث تطبيقي
Author
Source
Issue
Vol. 2017, Issue 27 (30 Jun. 2017), pp.157-170, 14 p.
Publisher
Publication Date
2017-06-30
Country of Publication
Iraq
No. of Pages
14
Main Subjects
Mathematics
Electronic engineering
Topics
Abstract EN
The testing methods used to test hypothesis when the data about variables are uncertain, represent fuzzy testing.
There are many kinds of fuzzy hypothesis, some of them about percentage of defectives, another related to the ratio of two populations mean or ratio of variances.
The testing of fuzzy hypothesis may be simple hypothesis or compound hypothesis, here we introduce a test method for testing hypothesis about the percentage of defectives in certain electrical part produced by certain company, where this produced units are important and introduced with another units to complete the product.
The testing of fuzzy hypothesis and everything related to this subject like acceptance and rejection, using procedure of Neyman person as a tool for testing fuzzy hypothesis.
All derivations required finding testing rule of fuzzy hypothesis for the data under study.
The aim of the research to introduce the statistical testing and statistical inference about parameters of population, and how to make a decision for rejecting or accepting the fuzzy hypothesis for the percentage of defective items.
American Psychological Association (APA)
Karim, Rabhah Salim. 2017. Testing fuzzy Hypothesis with application. al-Mansour،Vol. 2017, no. 27, pp.157-170.
https://search.emarefa.net/detail/BIM-779050
Modern Language Association (MLA)
Karim, Rabhah Salim. Testing fuzzy Hypothesis with application. al-Mansour No. 27 (2017), pp.157-170.
https://search.emarefa.net/detail/BIM-779050
American Medical Association (AMA)
Karim, Rabhah Salim. Testing fuzzy Hypothesis with application. al-Mansour. 2017. Vol. 2017, no. 27, pp.157-170.
https://search.emarefa.net/detail/BIM-779050
Data Type
Journal Articles
Language
English
Notes
Text in English ; abstracts in English and Arabic.
Record ID
BIM-779050