Chance Single Sampling Plan for Variables

Sampath Sundaram, Lalitha Singhan Madhavachari and Ramya Balu
Additional contact information
Sampath Sundaram: Department of Statistics, University of Madras, Chennai, India
Lalitha Singhan Madhavachari: Department of Mathematics, Sri Sairam Institue of Technology, Chennai, India
Ramya Balu: Department of Statistics, University of Madras, Chennai, India

International Journal of Fuzzy System Applications (IJFSA), 2015, vol. 4, issue 1, 43-59

Abstract: This paper considers the design of single sampling plan for variables when the experimental values are treated as observations on independently and identically distributed normal random variables with fuzzy mean value. The design makes use of Liu's (2008) model IV of Chance Theory. Sampling Plans determined by the sample sizes and acceptance numbers are constructed for situations involving imprecise parameter on using chance theory. The process of determining sample sizes and acceptance threshold values has been carried out on assuming the observed values have hybrid normal distribution. Optimal chance sampling plans for variables are also determined by using minimum angle criterion for different choices of fuzzy risks.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJFSA.2015010103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jfsa00:v:4:y:2015:i:1:p:43-59

Access Statistics for this article

International Journal of Fuzzy System Applications (IJFSA) is currently edited by Deng-Feng Li

More articles in International Journal of Fuzzy System Applications (IJFSA) from IGI Global
Bibliographic data for series maintained by Journal Editor ().