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A Gull Alpha Power Weibull distribution with applications to real and simulated data

Authors :
Alamgir
Sajjad Ahmad Khan
Syed Muhammad Asim
Muhammad Farooq
Sadaf Manzoor
Muhammad Ijaz
Source :
PLoS ONE, Vol 15, Iss 6, p e0233080 (2020), PLoS ONE
Publication Year :
2020
Publisher :
Public Library of Science (PLoS), 2020.

Abstract

In this paper, we produced a new family of distribution called Gull Alpha Power Family of distributions (GAPF). A Special case of GAPF is derived by considering the Weibull distribution as a baseline distribution called Gull Alpha Power Weibull distribution (GAPW). The suitability of the proposed distribution derives from its ability to model both the monotonic and non-monotonic hazard rate functions which are a common practice in survival analysis and reliability engineering. Various statistical properties were derived in addition to their special cases. The unknown parameters of the model are estimated using the maximum likelihood method. Moreover, the usefulness of the proposed distribution is supported by using two real lifetime data sets as well as simulated data.

Details

Language :
English
ISSN :
19326203
Volume :
15
Issue :
6
Database :
OpenAIRE
Journal :
PLoS ONE
Accession number :
edsair.doi.dedup.....df043102e2d90dc40cbf60e734b96340