TY - JOUR
T1 - A practical and effective method for estimating confidence limits of population percentile and reliability of three-parameter Weibull distribution on probability weighted moment
AU - Zhao, Xinpan
AU - Lu, Zhenzhou
AU - Wang, Weihu
PY - 2010/6
Y1 - 2010/6
N2 - The introduction of the full paper points out what we believe to be the shortcomings of Ref.1 authored by Fu Huimin et al. We explain in sections 1 and 2 a new method that is, in our opinion, not only more effective but also suitable for engineering problems. The core of sections 1 and 2 is: ″we propose a new method for estimating confidence limits of population percentile and reliability for three-parameter Weibull distribution by using the unbias of probability weighted moment in Refs. 2 and 3 and the good statistic properties of Bootstrap method in Refs.4 and 5, our method has clear concepts and is easy to implement.″ Section 3 analyzes two numerical examples and experimental data on fatigue life. The analysis results, given in Tables 1 and 2, show preliminarily that our method is more effective in terms of computation efficiency and precision than the existing estimation methods. The analysis of the experimental data in Ref.2 on an engineering example verifies that our method is suitable for solving engineering problems.
AB - The introduction of the full paper points out what we believe to be the shortcomings of Ref.1 authored by Fu Huimin et al. We explain in sections 1 and 2 a new method that is, in our opinion, not only more effective but also suitable for engineering problems. The core of sections 1 and 2 is: ″we propose a new method for estimating confidence limits of population percentile and reliability for three-parameter Weibull distribution by using the unbias of probability weighted moment in Refs. 2 and 3 and the good statistic properties of Bootstrap method in Refs.4 and 5, our method has clear concepts and is easy to implement.″ Section 3 analyzes two numerical examples and experimental data on fatigue life. The analysis results, given in Tables 1 and 2, show preliminarily that our method is more effective in terms of computation efficiency and precision than the existing estimation methods. The analysis of the experimental data in Ref.2 on an engineering example verifies that our method is suitable for solving engineering problems.
KW - Bootstrap method
KW - Confidence limit
KW - Fatigue of materials
KW - Population percentile
KW - Probability
KW - Probability weighted moment
KW - Reliability
KW - Three-parameter Weibull distribution
KW - Weibull distribution
UR - http://www.scopus.com/inward/record.url?scp=77956827739&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:77956827739
SN - 1000-2758
VL - 28
SP - 470
EP - 475
JO - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
JF - Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University
IS - 3
ER -