Optimal linear regression estimator in the fitting of Weibull strength distribution

The strength of ceramics is characterized by a wide scatter because of pre-existing cracks that occur during the manufacturing and machining processes. The Weibull distribution is one of the most widely used functions for the characterization of strength data. A linear regression method is generally...

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Main Authors: Nohut, S., Lu, Chunsheng, Gorjan, L.
Format: Journal Article
Published: ASTM International 2014
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/32601
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author Nohut, S.
Lu, Chunsheng
Gorjan, L.
author_facet Nohut, S.
Lu, Chunsheng
Gorjan, L.
author_sort Nohut, S.
building Curtin Institutional Repository
collection Online Access
description The strength of ceramics is characterized by a wide scatter because of pre-existing cracks that occur during the manufacturing and machining processes. The Weibull distribution is one of the most widely used functions for the characterization of strength data. A linear regression method is generally applied in the estimation of Weibull parameters for its simplicity and low overestimation, in which probability estimators play an important role. In this paper, an optimal probability estimator for different sample sizes is obtained by using alumina strength data. In comparison with other commonly used estimators, the optimal probability estimator shows less bias and higher safety. The performance of the optimal probability estimator is also verified by other experimental strength data. In conclusion, an optimal probability estimator constant of 0.25 is suggested in practical applications.
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institution Curtin University Malaysia
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publishDate 2014
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spelling curtin-20.500.11937-326012017-09-13T15:24:20Z Optimal linear regression estimator in the fitting of Weibull strength distribution Nohut, S. Lu, Chunsheng Gorjan, L. failure probability strength Alumina linear regression Weibull distribution The strength of ceramics is characterized by a wide scatter because of pre-existing cracks that occur during the manufacturing and machining processes. The Weibull distribution is one of the most widely used functions for the characterization of strength data. A linear regression method is generally applied in the estimation of Weibull parameters for its simplicity and low overestimation, in which probability estimators play an important role. In this paper, an optimal probability estimator for different sample sizes is obtained by using alumina strength data. In comparison with other commonly used estimators, the optimal probability estimator shows less bias and higher safety. The performance of the optimal probability estimator is also verified by other experimental strength data. In conclusion, an optimal probability estimator constant of 0.25 is suggested in practical applications. 2014 Journal Article http://hdl.handle.net/20.500.11937/32601 10.1520/JTE20130074 ASTM International restricted
spellingShingle failure probability
strength
Alumina
linear regression
Weibull distribution
Nohut, S.
Lu, Chunsheng
Gorjan, L.
Optimal linear regression estimator in the fitting of Weibull strength distribution
title Optimal linear regression estimator in the fitting of Weibull strength distribution
title_full Optimal linear regression estimator in the fitting of Weibull strength distribution
title_fullStr Optimal linear regression estimator in the fitting of Weibull strength distribution
title_full_unstemmed Optimal linear regression estimator in the fitting of Weibull strength distribution
title_short Optimal linear regression estimator in the fitting of Weibull strength distribution
title_sort optimal linear regression estimator in the fitting of weibull strength distribution
topic failure probability
strength
Alumina
linear regression
Weibull distribution
url http://hdl.handle.net/20.500.11937/32601