Double bootstrap confidence interval estimates with censored and truncated data

Traditional inferential procedures often fail with censored and truncated data, especially when sample sizes are small. In this paper we evaluate the performances of the double and single bootstrap interval estimates by comparing the double percentile (DB-p), double percentile-t (DB-t), single perce...

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Main Authors: Arasan, Jayanthi, Adam, Mohd Bakri
Format: Article
Language:English
Published: JMASM, Inc. 2014
Online Access:http://psasir.upm.edu.my/id/eprint/51967/
http://psasir.upm.edu.my/id/eprint/51967/1/Double%20bootstrap%20confidence%20interval%20estimates%20with%20censored%20and%20truncated%20data.pdf
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author Arasan, Jayanthi
Adam, Mohd Bakri
author_facet Arasan, Jayanthi
Adam, Mohd Bakri
author_sort Arasan, Jayanthi
building UPM Institutional Repository
collection Online Access
description Traditional inferential procedures often fail with censored and truncated data, especially when sample sizes are small. In this paper we evaluate the performances of the double and single bootstrap interval estimates by comparing the double percentile (DB-p), double percentile-t (DB-t), single percentile (B-p), and percentile-t (B-t) bootstrap interval estimation methods via a coverage probability study when the data is censored using the log logistic model. We then apply the double bootstrap intervals to real right censored lifetime data on 32 women with breast cancer and failure data on 98 brake pads where all the observations were left truncated.
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spelling upm-519672017-05-04T04:43:41Z http://psasir.upm.edu.my/id/eprint/51967/ Double bootstrap confidence interval estimates with censored and truncated data Arasan, Jayanthi Adam, Mohd Bakri Traditional inferential procedures often fail with censored and truncated data, especially when sample sizes are small. In this paper we evaluate the performances of the double and single bootstrap interval estimates by comparing the double percentile (DB-p), double percentile-t (DB-t), single percentile (B-p), and percentile-t (B-t) bootstrap interval estimation methods via a coverage probability study when the data is censored using the log logistic model. We then apply the double bootstrap intervals to real right censored lifetime data on 32 women with breast cancer and failure data on 98 brake pads where all the observations were left truncated. JMASM, Inc. 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/51967/1/Double%20bootstrap%20confidence%20interval%20estimates%20with%20censored%20and%20truncated%20data.pdf Arasan, Jayanthi and Adam, Mohd Bakri (2014) Double bootstrap confidence interval estimates with censored and truncated data. Journal of Modern Applied Statistical Methods, 13 (2). pp. 399-419. ISSN 1538-9472 http://digitalcommons.wayne.edu/jmasm/vol13/iss2/22/
spellingShingle Arasan, Jayanthi
Adam, Mohd Bakri
Double bootstrap confidence interval estimates with censored and truncated data
title Double bootstrap confidence interval estimates with censored and truncated data
title_full Double bootstrap confidence interval estimates with censored and truncated data
title_fullStr Double bootstrap confidence interval estimates with censored and truncated data
title_full_unstemmed Double bootstrap confidence interval estimates with censored and truncated data
title_short Double bootstrap confidence interval estimates with censored and truncated data
title_sort double bootstrap confidence interval estimates with censored and truncated data
url http://psasir.upm.edu.my/id/eprint/51967/
http://psasir.upm.edu.my/id/eprint/51967/
http://psasir.upm.edu.my/id/eprint/51967/1/Double%20bootstrap%20confidence%20interval%20estimates%20with%20censored%20and%20truncated%20data.pdf