A comparative study for parameter estimation of the Weibull distribution in a small sample size: An application to spring fatigue failure data-Reference-Cited by-同舟云学术

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A comparative study for parameter estimation of the Weibull distribution in a small sample size: An application to spring fatigue failure data

Published:2022-12-21 Issue: Volume: Page:1-13
ISSN:0898-2112
Container-title:Quality Engineering
language:en
Short-container-title:Quality Engineering

Author:

Yang Xiaoyu¹²,Xie Liyang¹²,Yang Yifeng¹²,Zhao Bingfeng¹²,Li Yuan³

Affiliation:

1. School of Mechanical Engineering and Automation, Northeastern University, Shenyang, P.R. China

2. Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education, Northeastern University, Shenyang, P.R. China

3. School of Aeronautics and Institute of Extreme Mechanics, Northwestern Polytechnical University, Xi’an, P.R. China

Funder

National Science and Technology Major Project

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/08982112.2022.2158745

Reference35 articles.

1. A new approach for estimating the parameters of Weibull distribution via particle swarm optimization: An application to the strengths of glass fibre data

2. Comparison of the Bayesian and Maximum Likelihood Estimation for Weibull Distribution

3. Selection of Efficient Parameter Estimation Method for Two-Parameter Weibull Distribution

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Reliability evaluation for Weibull distribution with heavily Type II censored data;Quality and Reliability Engineering International;2024-05-06

2. Monte Carlo comparison of normality tests based on varentropy estimators;Journal of Statistical Computation and Simulation;2024-04-16

3. Research on fatigue life evaluation method of shaft parts based on small sample;International Journal of Structural Integrity;2023-08-11

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