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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Format: | Article |
Language: | zho |
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Editorial Office of Journal of Mechanical Strength
2023-01-01
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Series: | Jixie qiangdu |
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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. |
format | Article |
id | doaj-art-61b2182136364ead993e80ca92105779 |
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 |