GAMMA DISTRIBUTION APPLICATION OF PARAMETER ESTIMATION METHOD BASED ON WEIBULL AUXILIARY MODEL (MT)

Since there are more systems to be observed on the sites and the observation time is shorter than the average life of the product, the life data actually collected is often heavily censored data. For such data, the classical parameter estimation methods can’t provide accurate and robust estimation....

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Main Authors: XIAO ShiHai, JIANG RenYan
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2023-01-01
Series:Jixie qiangdu
Subjects:
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.03.016
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author XIAO ShiHai
JIANG RenYan
author_facet XIAO ShiHai
JIANG RenYan
author_sort XIAO ShiHai
collection DOAJ
description Since there are more systems to be observed on the sites and the observation time is shorter than the average life of the product, the life data actually collected is often heavily censored data. For such data, the classical parameter estimation methods can’t provide accurate and robust estimation. For this reason, a parameter estimation method based on the Weibull auxiliary model is proposed, and the numerical experiment results validate that this method can provide a more accurate and robust estimation of the gamma distribution than the classical parameter estimation method under the condition of heavily censored data.
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institution Kabale University
issn 1001-9669
language zho
publishDate 2023-01-01
publisher Editorial Office of Journal of Mechanical Strength
record_format Article
series Jixie qiangdu
spelling doaj-art-61b2182136364ead993e80ca921057792025-01-15T02:40:45ZzhoEditorial Office of Journal of Mechanical StrengthJixie qiangdu1001-96692023-01-0162062540373639GAMMA DISTRIBUTION APPLICATION OF PARAMETER ESTIMATION METHOD BASED ON WEIBULL AUXILIARY MODEL (MT)XIAO ShiHaiJIANG RenYanSince there are more systems to be observed on the sites and the observation time is shorter than the average life of the product, the life data actually collected is often heavily censored data. For such data, the classical parameter estimation methods can’t provide accurate and robust estimation. For this reason, a parameter estimation method based on the Weibull auxiliary model is proposed, and the numerical experiment results validate that this method can provide a more accurate and robust estimation of the gamma distribution than the classical parameter estimation method under the condition of heavily censored data.http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.03.016Gamma distributionPerformance evaluationHeavily censored dataWeibull auxiliary model
spellingShingle XIAO ShiHai
JIANG RenYan
GAMMA DISTRIBUTION APPLICATION OF PARAMETER ESTIMATION METHOD BASED ON WEIBULL AUXILIARY MODEL (MT)
Jixie qiangdu
Gamma distribution
Performance evaluation
Heavily censored data
Weibull auxiliary model
title GAMMA DISTRIBUTION APPLICATION OF PARAMETER ESTIMATION METHOD BASED ON WEIBULL AUXILIARY MODEL (MT)
title_full GAMMA DISTRIBUTION APPLICATION OF PARAMETER ESTIMATION METHOD BASED ON WEIBULL AUXILIARY MODEL (MT)
title_fullStr GAMMA DISTRIBUTION APPLICATION OF PARAMETER ESTIMATION METHOD BASED ON WEIBULL AUXILIARY MODEL (MT)
title_full_unstemmed GAMMA DISTRIBUTION APPLICATION OF PARAMETER ESTIMATION METHOD BASED ON WEIBULL AUXILIARY MODEL (MT)
title_short GAMMA DISTRIBUTION APPLICATION OF PARAMETER ESTIMATION METHOD BASED ON WEIBULL AUXILIARY MODEL (MT)
title_sort gamma distribution application of parameter estimation method based on weibull auxiliary model mt
topic Gamma distribution
Performance evaluation
Heavily censored data
Weibull auxiliary model
url http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.03.016
work_keys_str_mv AT xiaoshihai gammadistributionapplicationofparameterestimationmethodbasedonweibullauxiliarymodelmt
AT jiangrenyan gammadistributionapplicationofparameterestimationmethodbasedonweibullauxiliarymodelmt