The extreme value Birnbaum-Saunders model, its moments and an application in biometry

M. Ivette Gomes; Marta Ferreira; Víctor Leiva

Biometrical Letters (2012)

  • Volume: 49, Issue: 2, page 81-94
  • ISSN: 1896-3811

Abstract

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The Birnbaum-Saunders (BS) model is a life distribution that has been widely studied and applied. Recently, a new version of the BS distribution based on extreme value theory has been introduced, named the extreme value Birnbaum-Saunders (EVBS) distribution. In this article we provide some further details on the EVBS models that can be useful as a supplement to the existing results. We use these models to analyse real survival time data for patients treated with alkylating agents for multiple myeloma. This analysis allow us to show the adequacy of these new statistical distributions and identify them as models useful for medical practitioners in order to predict survival times for such patients and evaluate changes in their treatment dose.

How to cite

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M. Ivette Gomes, Marta Ferreira, and Víctor Leiva. "The extreme value Birnbaum-Saunders model, its moments and an application in biometry." Biometrical Letters 49.2 (2012): 81-94. <http://eudml.org/doc/268711>.

@article{M2012,
abstract = {The Birnbaum-Saunders (BS) model is a life distribution that has been widely studied and applied. Recently, a new version of the BS distribution based on extreme value theory has been introduced, named the extreme value Birnbaum-Saunders (EVBS) distribution. In this article we provide some further details on the EVBS models that can be useful as a supplement to the existing results. We use these models to analyse real survival time data for patients treated with alkylating agents for multiple myeloma. This analysis allow us to show the adequacy of these new statistical distributions and identify them as models useful for medical practitioners in order to predict survival times for such patients and evaluate changes in their treatment dose.},
author = {M. Ivette Gomes, Marta Ferreira, Víctor Leiva},
journal = {Biometrical Letters},
keywords = {extreme value theory; parametric modelling; survival data},
language = {eng},
number = {2},
pages = {81-94},
title = {The extreme value Birnbaum-Saunders model, its moments and an application in biometry},
url = {http://eudml.org/doc/268711},
volume = {49},
year = {2012},
}

TY - JOUR
AU - M. Ivette Gomes
AU - Marta Ferreira
AU - Víctor Leiva
TI - The extreme value Birnbaum-Saunders model, its moments and an application in biometry
JO - Biometrical Letters
PY - 2012
VL - 49
IS - 2
SP - 81
EP - 94
AB - The Birnbaum-Saunders (BS) model is a life distribution that has been widely studied and applied. Recently, a new version of the BS distribution based on extreme value theory has been introduced, named the extreme value Birnbaum-Saunders (EVBS) distribution. In this article we provide some further details on the EVBS models that can be useful as a supplement to the existing results. We use these models to analyse real survival time data for patients treated with alkylating agents for multiple myeloma. This analysis allow us to show the adequacy of these new statistical distributions and identify them as models useful for medical practitioners in order to predict survival times for such patients and evaluate changes in their treatment dose.
LA - eng
KW - extreme value theory; parametric modelling; survival data
UR - http://eudml.org/doc/268711
ER -

References

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  9. Leiva V., Barros M., Paula G.A., Galea, M. (2007): Inuence diagnostics in log- Birnbaum-Saunders regression models with censored data. Comp. Stat. Data Anal. 51: 5694-5707. Zbl05560064
  10. Sanhueza A., Leiva V., Balakrishnan N. (2008): The generalized Birnbaum- Saunders distribution and its theory, methodology and application. Comm. Statist. - Theory and Methods 37: 645-670. Zbl1136.62016
  11. Mises R. von (1936): La distribution de la plus grande de n valeurs. Revue Math. Union Interbalcanique, 1, 141-160. 
  12. Reprinted in Selected Papers of Richard von Mises. Amer. Math. Soc. 2(1964): 271-294. 
  13. Vilca F., Leiva V. (2006): A new fatigue life model based on the family of skewelliptical distributions. Comm. Statist. - Theory and Methods 35: 229-244. Zbl1084.62107

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