Alternative interval estimation for parameters of bivariate exponential model with time varying covariate

This paper investigates several alternative methods of constructing confidence interval estimates based on the bootstrap and jackknife techniques for the parameters of a parallel two-component system model with dependent failure and a time varying covariate, when data is censored. This model is an e...

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Main Authors: Arasan, Jayanthi, Lunn, Mary
Format: Article
Language:English
English
Published: Springer Verlag 2008
Online Access:http://psasir.upm.edu.my/id/eprint/7020/
http://psasir.upm.edu.my/id/eprint/7020/1/Alternative%20interval%20estimation.pdf
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author Arasan, Jayanthi
Lunn, Mary
author_facet Arasan, Jayanthi
Lunn, Mary
author_sort Arasan, Jayanthi
building UPM Institutional Repository
collection Online Access
description This paper investigates several alternative methods of constructing confidence interval estimates based on the bootstrap and jackknife techniques for the parameters of a parallel two-component system model with dependent failure and a time varying covariate, when data is censored. This model is an extension of the bivariate exponential model. Bootstrap confidence interval techniques, the bootstrap-t, bootstrap-percentile andBCamethods are compared with the confidence interval based on the jackknife via coverage probability study using simulated data. The results clearly indicate that the jackknife technique works far better than any of the bootstrap techniques when dealing with censored data.
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institution Universiti Putra Malaysia
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language English
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spelling upm-70202015-12-02T03:44:28Z http://psasir.upm.edu.my/id/eprint/7020/ Alternative interval estimation for parameters of bivariate exponential model with time varying covariate Arasan, Jayanthi Lunn, Mary This paper investigates several alternative methods of constructing confidence interval estimates based on the bootstrap and jackknife techniques for the parameters of a parallel two-component system model with dependent failure and a time varying covariate, when data is censored. This model is an extension of the bivariate exponential model. Bootstrap confidence interval techniques, the bootstrap-t, bootstrap-percentile andBCamethods are compared with the confidence interval based on the jackknife via coverage probability study using simulated data. The results clearly indicate that the jackknife technique works far better than any of the bootstrap techniques when dealing with censored data. Springer Verlag 2008 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/7020/1/Alternative%20interval%20estimation.pdf Arasan, Jayanthi and Lunn, Mary (2008) Alternative interval estimation for parameters of bivariate exponential model with time varying covariate. Computational Statistics, 23 (4). pp. 605-622. ISSN 0943-4062 http://dx.doi.org/10.1007/s00180-007-0101-9 10.1007/s00180-007-0101-9 English
spellingShingle Arasan, Jayanthi
Lunn, Mary
Alternative interval estimation for parameters of bivariate exponential model with time varying covariate
title Alternative interval estimation for parameters of bivariate exponential model with time varying covariate
title_full Alternative interval estimation for parameters of bivariate exponential model with time varying covariate
title_fullStr Alternative interval estimation for parameters of bivariate exponential model with time varying covariate
title_full_unstemmed Alternative interval estimation for parameters of bivariate exponential model with time varying covariate
title_short Alternative interval estimation for parameters of bivariate exponential model with time varying covariate
title_sort alternative interval estimation for parameters of bivariate exponential model with time varying covariate
url http://psasir.upm.edu.my/id/eprint/7020/
http://psasir.upm.edu.my/id/eprint/7020/
http://psasir.upm.edu.my/id/eprint/7020/
http://psasir.upm.edu.my/id/eprint/7020/1/Alternative%20interval%20estimation.pdf