ESTIMATION OF STRESS-STRENGTH RELIABILITY FOR AKASH DISTRIBUTION

dc.contributor.author	Varghese, Akhila K
dc.contributor.author	Chacko, V. M.
dc.date.accessioned	2025-01-18T07:18:06Z
dc.date.available	2025-01-18T07:18:06Z
dc.date.issued	2022-09
dc.identifier.citation	Ebsco Volume 17	en_US
dc.identifier.issn	1932-2321
dc.identifier.uri	http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/391
dc.description.abstract	In this paper, we consider the estimation of the stress–strength parameter R = P[Y < X], when X and Y are following one-parameter Akash distributions with parameter �! and �" respectively. It is assumed that they are independently distributed. The maximum likelihood estimator (MLE) of R and its asymptotic distribution are obtained. Asymptotic distributions of the maximum likelihood estimator is useful for constructing confidence interval of P[Y < X]. The Bootstrap confidence interval of P[Y < X] is also computed. The illustrative part consists of the analysis of two real data sets, (i) simulated and (ii) real	en_US
dc.language.iso	en	en_US
dc.publisher	Reliability: Theory & Applications	en_US
dc.subject	stress–strength model	en_US
dc.subject	maximum-likelihood estimator	en_US
dc.subject	bootstrap confidence intervals	en_US
dc.subject	asymptotic distributions	en_US
dc.title	ESTIMATION OF STRESS-STRENGTH RELIABILITY FOR AKASH DISTRIBUTION	en_US
dc.type	Article	en_US