Transmuted Kumaraswamy Weibull Distribution with Covariates Regression Modelling to Analyze Reliability Data

This paper investigates the potential usefulness of the transmuted Kumaraswamy Weibull distribution by using quadratic rank transmutation map technique for modelling reliability data. Some structural properties of the transmuted Kumaraswamy Weibull distribution are discussed. We propose a location-s...

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Main Authors: Muhammad Shuaib Khan, Robert King, Irene Lena Hudson
Format: Article
Language:English
Published: Atlantis Press 2020-10-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/125945492/view
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spelling doaj-6e7f9ddbcbed4763b8e386febea99b2e2021-02-01T15:04:00ZengAtlantis PressJournal of Statistical Theory and Applications (JSTA)2214-17662020-10-0119410.2991/jsta.d.201016.003Transmuted Kumaraswamy Weibull Distribution with Covariates Regression Modelling to Analyze Reliability DataMuhammad Shuaib KhanRobert KingIrene Lena HudsonThis paper investigates the potential usefulness of the transmuted Kumaraswamy Weibull distribution by using quadratic rank transmutation map technique for modelling reliability data. Some structural properties of the transmuted Kumaraswamy Weibull distribution are discussed. We propose a location-scale regression model based on the transmuted log-Kumaraswamy Weibull distribution for modelling survival data. We discuss estimation of the model parameters by the method of maximum likelihood and provide two applications to illustrate the potentiality of the proposed family of lifetime distributions.https://www.atlantis-press.com/article/125945492/viewLog-Kumaraswamy Weibull regression modelMomentsMaximum likelihood estimation
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Shuaib Khan
Robert King
Irene Lena Hudson
spellingShingle Muhammad Shuaib Khan
Robert King
Irene Lena Hudson
Transmuted Kumaraswamy Weibull Distribution with Covariates Regression Modelling to Analyze Reliability Data
Journal of Statistical Theory and Applications (JSTA)
Log-Kumaraswamy Weibull regression model
Moments
Maximum likelihood estimation
author_facet Muhammad Shuaib Khan
Robert King
Irene Lena Hudson
author_sort Muhammad Shuaib Khan
title Transmuted Kumaraswamy Weibull Distribution with Covariates Regression Modelling to Analyze Reliability Data
title_short Transmuted Kumaraswamy Weibull Distribution with Covariates Regression Modelling to Analyze Reliability Data
title_full Transmuted Kumaraswamy Weibull Distribution with Covariates Regression Modelling to Analyze Reliability Data
title_fullStr Transmuted Kumaraswamy Weibull Distribution with Covariates Regression Modelling to Analyze Reliability Data
title_full_unstemmed Transmuted Kumaraswamy Weibull Distribution with Covariates Regression Modelling to Analyze Reliability Data
title_sort transmuted kumaraswamy weibull distribution with covariates regression modelling to analyze reliability data
publisher Atlantis Press
series Journal of Statistical Theory and Applications (JSTA)
issn 2214-1766
publishDate 2020-10-01
description This paper investigates the potential usefulness of the transmuted Kumaraswamy Weibull distribution by using quadratic rank transmutation map technique for modelling reliability data. Some structural properties of the transmuted Kumaraswamy Weibull distribution are discussed. We propose a location-scale regression model based on the transmuted log-Kumaraswamy Weibull distribution for modelling survival data. We discuss estimation of the model parameters by the method of maximum likelihood and provide two applications to illustrate the potentiality of the proposed family of lifetime distributions.
topic Log-Kumaraswamy Weibull regression model
Moments
Maximum likelihood estimation
url https://www.atlantis-press.com/article/125945492/view
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AT robertking transmutedkumaraswamyweibulldistributionwithcovariatesregressionmodellingtoanalyzereliabilitydata
AT irenelenahudson transmutedkumaraswamyweibulldistributionwithcovariatesregressionmodellingtoanalyzereliabilitydata
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