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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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 |
work_keys_str_mv |
AT muhammadshuaibkhan transmutedkumaraswamyweibulldistributionwithcovariatesregressionmodellingtoanalyzereliabilitydata AT robertking transmutedkumaraswamyweibulldistributionwithcovariatesregressionmodellingtoanalyzereliabilitydata AT irenelenahudson transmutedkumaraswamyweibulldistributionwithcovariatesregressionmodellingtoanalyzereliabilitydata |
_version_ |
1724315331465314304 |