A new class of lifetime models and the evaluation of the confidence intervals by double percentile bootstrap

Abstract: In this paper, we introduce a new three-parameter distribution by compounding the Nadarajah-Haghighi and geometric distributions, which can be interpreted as a truncated Marshall-Olkin extended Weibull. The compounding procedure is based on the work by Marshall and Olkin 1997. We prove tha...

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Main Authors: PEDRO R.D. MARINHO, MARCELO BOURGUIGNON, RODRIGO B. SILVA, GAUSS M. CORDEIRO
Format: Article
Language:English
Published: Academia Brasileira de Ciências 2019-04-01
Series:Anais da Academia Brasileira de Ciências
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100202&lng=en&tlng=en
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spelling doaj-0a03f9e2cc8c45f6a522337d4cec61db2020-11-24T21:35:22ZengAcademia Brasileira de CiênciasAnais da Academia Brasileira de Ciências1678-26902019-04-0191110.1590/0001-3765201920180480S0001-37652019000100202A new class of lifetime models and the evaluation of the confidence intervals by double percentile bootstrapPEDRO R.D. MARINHOMARCELO BOURGUIGNONRODRIGO B. SILVAGAUSS M. CORDEIROAbstract: In this paper, we introduce a new three-parameter distribution by compounding the Nadarajah-Haghighi and geometric distributions, which can be interpreted as a truncated Marshall-Olkin extended Weibull. The compounding procedure is based on the work by Marshall and Olkin 1997. We prove that the new distribution can be obtained as a compound model with mixing exponential distribution. It can have decreasing, increasing, upside-down bathtub, bathtub-shaped, constant and decreasing-increasing-decreasing failure rate functions depending on the values of the parameters. Some mathematical properties of the new distribution are studied including moments and quantile function. The maximum likelihood estimation procedure is discussed and a particle swarm optimization algorithm is provided for estimating the model parameters. The flexibility of the new model is illustrated with an application to a real data set.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100202&lng=en&tlng=enExponential distributionFailure rate functionGeometric distributionMaximum likelihood estimationNadarajah-Haghighi distribution.
collection DOAJ
language English
format Article
sources DOAJ
author PEDRO R.D. MARINHO
MARCELO BOURGUIGNON
RODRIGO B. SILVA
GAUSS M. CORDEIRO
spellingShingle PEDRO R.D. MARINHO
MARCELO BOURGUIGNON
RODRIGO B. SILVA
GAUSS M. CORDEIRO
A new class of lifetime models and the evaluation of the confidence intervals by double percentile bootstrap
Anais da Academia Brasileira de Ciências
Exponential distribution
Failure rate function
Geometric distribution
Maximum likelihood estimation
Nadarajah-Haghighi distribution.
author_facet PEDRO R.D. MARINHO
MARCELO BOURGUIGNON
RODRIGO B. SILVA
GAUSS M. CORDEIRO
author_sort PEDRO R.D. MARINHO
title A new class of lifetime models and the evaluation of the confidence intervals by double percentile bootstrap
title_short A new class of lifetime models and the evaluation of the confidence intervals by double percentile bootstrap
title_full A new class of lifetime models and the evaluation of the confidence intervals by double percentile bootstrap
title_fullStr A new class of lifetime models and the evaluation of the confidence intervals by double percentile bootstrap
title_full_unstemmed A new class of lifetime models and the evaluation of the confidence intervals by double percentile bootstrap
title_sort new class of lifetime models and the evaluation of the confidence intervals by double percentile bootstrap
publisher Academia Brasileira de Ciências
series Anais da Academia Brasileira de Ciências
issn 1678-2690
publishDate 2019-04-01
description Abstract: In this paper, we introduce a new three-parameter distribution by compounding the Nadarajah-Haghighi and geometric distributions, which can be interpreted as a truncated Marshall-Olkin extended Weibull. The compounding procedure is based on the work by Marshall and Olkin 1997. We prove that the new distribution can be obtained as a compound model with mixing exponential distribution. It can have decreasing, increasing, upside-down bathtub, bathtub-shaped, constant and decreasing-increasing-decreasing failure rate functions depending on the values of the parameters. Some mathematical properties of the new distribution are studied including moments and quantile function. The maximum likelihood estimation procedure is discussed and a particle swarm optimization algorithm is provided for estimating the model parameters. The flexibility of the new model is illustrated with an application to a real data set.
topic Exponential distribution
Failure rate function
Geometric distribution
Maximum likelihood estimation
Nadarajah-Haghighi distribution.
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652019000100202&lng=en&tlng=en
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