On an Extreme Value Version of The Birnbaum–Saunders Distribution

The Birnbaum–Saunders model is a life distribution originated from a problem of material fatigue that has been largely studied and applied in recent decades. A random variable following the Birnbaum–Saunders distribution can be stochastically represented by another random variable used as basis. Th...

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Main Authors: Marta Ferreira, M. Ivette Gomes, Víctor Leiva
Format: Article
Language:English
Published: Instituto Nacional de Estatística | Statistics Portugal 2012-07-01
Series:Revstat Statistical Journal
Subjects:
Online Access:https://revstat.ine.pt/index.php/REVSTAT/article/view/116
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author Marta Ferreira
M. Ivette Gomes
Víctor Leiva
author_facet Marta Ferreira
M. Ivette Gomes
Víctor Leiva
author_sort Marta Ferreira
collection DOAJ
description The Birnbaum–Saunders model is a life distribution originated from a problem of material fatigue that has been largely studied and applied in recent decades. A random variable following the Birnbaum–Saunders distribution can be stochastically represented by another random variable used as basis. Then, the Birnbaum–Saunders model can be generalized by switching the distribution of the basis variable using diverse arguments allowing to construct more general classes of models. Extreme value distributions are useful to determinate the probability of events that are larger or smaller than others previously observed. In this paper, we propose, characterize, implement and apply an extreme value version of the Birnbaum–Saunders distribution.
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spelling doaj.art-85649bd57e714999b6dd666fb408eeee2022-12-22T01:28:31ZengInstituto Nacional de Estatística | Statistics PortugalRevstat Statistical Journal1645-67262183-03712012-07-0110210.57805/revstat.v10i2.116On an Extreme Value Version of The Birnbaum–Saunders DistributionMarta Ferreira 0M. Ivette Gomes 1Víctor Leiva 2Universidade do MinhoUniversidade de LisboaUniversidad de Valparaíso The Birnbaum–Saunders model is a life distribution originated from a problem of material fatigue that has been largely studied and applied in recent decades. A random variable following the Birnbaum–Saunders distribution can be stochastically represented by another random variable used as basis. Then, the Birnbaum–Saunders model can be generalized by switching the distribution of the basis variable using diverse arguments allowing to construct more general classes of models. Extreme value distributions are useful to determinate the probability of events that are larger or smaller than others previously observed. In this paper, we propose, characterize, implement and apply an extreme value version of the Birnbaum–Saunders distribution. https://revstat.ine.pt/index.php/REVSTAT/article/view/116domain of attractionextreme datalikelihood methodR computer language
spellingShingle Marta Ferreira
M. Ivette Gomes
Víctor Leiva
On an Extreme Value Version of The Birnbaum–Saunders Distribution
Revstat Statistical Journal
domain of attraction
extreme data
likelihood method
R computer language
title On an Extreme Value Version of The Birnbaum–Saunders Distribution
title_full On an Extreme Value Version of The Birnbaum–Saunders Distribution
title_fullStr On an Extreme Value Version of The Birnbaum–Saunders Distribution
title_full_unstemmed On an Extreme Value Version of The Birnbaum–Saunders Distribution
title_short On an Extreme Value Version of The Birnbaum–Saunders Distribution
title_sort on an extreme value version of the birnbaum saunders distribution
topic domain of attraction
extreme data
likelihood method
R computer language
url https://revstat.ine.pt/index.php/REVSTAT/article/view/116
work_keys_str_mv AT martaferreira onanextremevalueversionofthebirnbaumsaundersdistribution
AT mivettegomes onanextremevalueversionofthebirnbaumsaundersdistribution
AT victorleiva onanextremevalueversionofthebirnbaumsaundersdistribution