POWER WEIBULL QUANTILE FUNCTION AND IT’S RELIABILITY ANALYSIS

dc.contributor.author	Joseph, Jeena
dc.contributor.author	Tony, Sonitta
dc.date.accessioned	2025-01-21T06:24:10Z
dc.date.available	2025-01-21T06:24:10Z
dc.date.issued	2023-12
dc.identifier.citation	Gnedenko Forum Volume 18 No 4	en_US
dc.identifier.uri	https://www.gnedenko.net/Journal/2023/042023/RTA_4_2023-51.pdf
dc.identifier.uri	http://starc.stthomas.ac.in:8080/xmlui/xmlui/handle/123456789/406
dc.description.abstract	In this article, we propose a new class of distributions defined by a quantile function, which is the sum of the quantile functions of the Power and Weibull distributions. Various distributional properties and reliability characteristics of the class are discussed. To examine the usefulness of the model, the model is applied to a real life datasets. Parameters are estimated using maximum likelihood estimation technique.	en_US
dc.language.iso	en	en_US
dc.publisher	Gnedenko Forum	en_US
dc.subject	Power distribution	en_US
dc.subject	Weibull distribution	en_US
dc.subject	L-moments	en_US
dc.subject	Hazard quantile function	en_US
dc.subject	Mean residual quantile function	en_US
dc.subject	Residual variance quantile function	en_US
dc.subject	Reversed hazard quantile function.	en_US
dc.title	POWER WEIBULL QUANTILE FUNCTION AND IT’S RELIABILITY ANALYSIS	en_US
dc.type	Article	en_US