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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2019-04-01
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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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