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Maximum Likelihood Performance of Mean Time to Failure for Right-Censored Data

In this paper failure times following Weibull, exponential and log-normal distribution are considered. The parameters of these distributions are estimated by the maximum likelihood method and these values are used to estimate other quantity of interest such as Mean Time to Failure (MTTF), an im...

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Main Authors: Ibrahim, Noor Akma, Ng, Poh Bee
Format: Article
Language:English
English
Published: Institute for Mathematical Research 2009
Online Access:http://psasir.upm.edu.my/id/eprint/12474/1/artikel_4_vol2_no2.pdf
http://psasir.upm.edu.my/id/eprint/12474/
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spelling my.upm.eprints.124742013-05-27T07:52:29Z http://psasir.upm.edu.my/id/eprint/12474/ Maximum Likelihood Performance of Mean Time to Failure for Right-Censored Data Ibrahim, Noor Akma Ng, Poh Bee In this paper failure times following Weibull, exponential and log-normal distribution are considered. The parameters of these distributions are estimated by the maximum likelihood method and these values are used to estimate other quantity of interest such as Mean Time to Failure (MTTF), an important function in a reliability analysis. This study is to look at the performance of maximum likelihood estimate (MLE) under various conditions by considering varying sample size and percentage of censored data. The performance is quantified from the study. Institute for Mathematical Research 2009-06 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12474/1/artikel_4_vol2_no2.pdf Ibrahim, Noor Akma and Ng, Poh Bee (2009) Maximum Likelihood Performance of Mean Time to Failure for Right-Censored Data. Math Digest : Research Bulletin Institute for Mathematical Research, 2 (2). pp. 18-20. ISSN 1985-2436 English
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
English
description In this paper failure times following Weibull, exponential and log-normal distribution are considered. The parameters of these distributions are estimated by the maximum likelihood method and these values are used to estimate other quantity of interest such as Mean Time to Failure (MTTF), an important function in a reliability analysis. This study is to look at the performance of maximum likelihood estimate (MLE) under various conditions by considering varying sample size and percentage of censored data. The performance is quantified from the study.
format Article
author Ibrahim, Noor Akma
Ng, Poh Bee
spellingShingle Ibrahim, Noor Akma
Ng, Poh Bee
Maximum Likelihood Performance of Mean Time to Failure for Right-Censored Data
author_facet Ibrahim, Noor Akma
Ng, Poh Bee
author_sort Ibrahim, Noor Akma
title Maximum Likelihood Performance of Mean Time to Failure for Right-Censored Data
title_short Maximum Likelihood Performance of Mean Time to Failure for Right-Censored Data
title_full Maximum Likelihood Performance of Mean Time to Failure for Right-Censored Data
title_fullStr Maximum Likelihood Performance of Mean Time to Failure for Right-Censored Data
title_full_unstemmed Maximum Likelihood Performance of Mean Time to Failure for Right-Censored Data
title_sort maximum likelihood performance of mean time to failure for right-censored data
publisher Institute for Mathematical Research
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/12474/1/artikel_4_vol2_no2.pdf
http://psasir.upm.edu.my/id/eprint/12474/
_version_ 1643825051486650368
score 13.188404

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