A new one parameter distribution: properties and estimation with applications to complete and type II censored data

The aim of this paper is to propose a new flexible model with one parameter. Several statistical properties and reliability characteristics of the proposed model are discussed. The maximum likelihood method is used to estimate the model parameter under complete and Type II censored samples. Simulati...

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Main Author: R. Alshenawy
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Journal of Taibah University for Science
Subjects:
Online Access:http://dx.doi.org/10.1080/16583655.2019.1698276
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spelling doaj-8bd12a5e984948aa841c5c4ea78233212021-01-26T12:13:34ZengTaylor & Francis GroupJournal of Taibah University for Science1658-36552020-01-01141111810.1080/16583655.2019.16982761698276A new one parameter distribution: properties and estimation with applications to complete and type II censored dataR. Alshenawy0Faculty of Science, Department of Mathematics and Statistics, King Feisal UniversityThe aim of this paper is to propose a new flexible model with one parameter. Several statistical properties and reliability characteristics of the proposed model are discussed. The maximum likelihood method is used to estimate the model parameter under complete and Type II censored samples. Simulation is conducted to estimate both the relative absolute bias and the relative mean square error for the model parameter. Finally, three real data sets are analyzed to investigate the applicability of the proposed model.http://dx.doi.org/10.1080/16583655.2019.1698276hazard rate functionlifetime expectancymaximum likelihood methodcensored data
collection DOAJ
language English
format Article
sources DOAJ
author R. Alshenawy
spellingShingle R. Alshenawy
A new one parameter distribution: properties and estimation with applications to complete and type II censored data
Journal of Taibah University for Science
hazard rate function
lifetime expectancy
maximum likelihood method
censored data
author_facet R. Alshenawy
author_sort R. Alshenawy
title A new one parameter distribution: properties and estimation with applications to complete and type II censored data
title_short A new one parameter distribution: properties and estimation with applications to complete and type II censored data
title_full A new one parameter distribution: properties and estimation with applications to complete and type II censored data
title_fullStr A new one parameter distribution: properties and estimation with applications to complete and type II censored data
title_full_unstemmed A new one parameter distribution: properties and estimation with applications to complete and type II censored data
title_sort new one parameter distribution: properties and estimation with applications to complete and type ii censored data
publisher Taylor & Francis Group
series Journal of Taibah University for Science
issn 1658-3655
publishDate 2020-01-01
description The aim of this paper is to propose a new flexible model with one parameter. Several statistical properties and reliability characteristics of the proposed model are discussed. The maximum likelihood method is used to estimate the model parameter under complete and Type II censored samples. Simulation is conducted to estimate both the relative absolute bias and the relative mean square error for the model parameter. Finally, three real data sets are analyzed to investigate the applicability of the proposed model.
topic hazard rate function
lifetime expectancy
maximum likelihood method
censored data
url http://dx.doi.org/10.1080/16583655.2019.1698276
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