Inference for the linear combination of two independent exponential random variables based on fuzzy dataopen access
- Authors
- Basharat, Hina; Mustafa, Saima; Mahmood, Shahid; Jun, Young Bae
- Issue Date
- Dec-2019
- Publisher
- HACETTEPE UNIV, FAC SCI
- Keywords
- Linear combination; Exponential distribution; Parameter estimation; Fuzzy numbers; Fuzzy logics
- Citation
- HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS, v.48, no.6, pp 1859 - 1869
- Pages
- 11
- Indexed
- SCIE
SCOPUS
- Journal Title
- HACETTEPE JOURNAL OF MATHEMATICS AND STATISTICS
- Volume
- 48
- Number
- 6
- Start Page
- 1859
- End Page
- 1869
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/73316
- DOI
- 10.15672/hujms.470452
- ISSN
- 1303-5010
2651-477X
- Abstract
- In this article, we have derived the distribution of a linear combination of two independent exponential random variables. The parameter estimates of the proposed distribution are obtained by using the maximum likelihood estimation method and the method of moments from fuzzy data. The findings in this paper show that estimation expertise is still valuable to any organization based on the precise and certain information. The proposed research consisted in developing an estimation technique using fuzzy logic and this is often measured in terms of linguistic values, which is very helpful and beneficial for the certain and precise results.
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