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Unbiased estimation of Weibull parameters with the linear regression method
來源:周建成教授個人網站 發布日期:2016-04-08
作者:Wu, DF; Zhou, JC; Li, YD
關鍵字:EMPIRICAL CORRECTION FACTOR; LEAST-SQUARES ANALYSIS; PROBABILITY ESTIMATORS; MECHANICAL STRENGTH; MODULUS; CERAMICS; CATALYSTS
論文來源:期刊
具體來源:JOURNAL OF THE EUROPEAN CERAMIC SOCIETY
發表時間:2006年

Monte Carlo Simulations were used to search for the probability estimator for the unbiased estimate of the Weibull parameters in the linear regression method. Compared with commonly-used probability estimators, the estimator proposed gives a more accurate estimation of the Weibull modulus and the same estimation precision of the scale parameter. It is found that the estimator proposed is more conservative than the estimator P-i = (i - 0.5)/n recommended by previous authors, and hence results in a higher safety in reliability predictions. The unbiased properties of the estimated Weibull parameters were validated with actual experimental data. It is also concluded that the estimated Weibull modulus from actual experimental data is more dispersive than that from Monte Carlo simulation, which arises from the fact that the strength data front actual experiments does not perfectly follow the Weibull statistics. (c) 2005 Elsevier Ltd. All rights reserved.

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