Results 301 to 310 of about 88,180 (332)

Weibull distributions when the shape parameter is defined

Computational Statistics & Data Analysis, 2001
The Weibull distribution, depending on parameters of location, scale, and shape, is often useful as a model for fracture data sets. If the location parameter is to be estimated then we have shown that maximum likelihood methods are not recommended. In the data set considered here the shape parameter is known to lie between 2 and 3 or so.
Bowman, K. O., Shenton, L. R.
openaire   +2 more sources

Inference on the Weibull Location Parameter

Journal of Quality Technology, 1998
A simple method is proposed for testing the 2-parameter Weibull distribution against the 3-parameter alternative. It is based on the ratio of the maximum likelihood estimate of the shape parameter calculated with the observations censored at the r1th or..
openaire   +1 more source

Robust and explicit estimators of Weibull parameters

2011
The Weibull distribution plays a central role in modeling duration data. Its maximum likelihood estimator is very sensitive to outliers. We propose three robust and explicit Weibull parameter estimators: the quantile least squares, the repeated median and the median/Qn estimator.
Croux, Christophe, Boudt, Kris, Caliskan, Derya   +2 more
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Robust estimation of Weibull-Rayleigh parameters

AIP Conference Proceedings, 2022
Ehab A. Mahmood, Ali Khaleel Dhaiban
openaire   +1 more source

Estimation of Weibull Parameters With Competing-Mode Censoring

IEEE Transactions on Reliability, 1976
Existing results are reviewed for the maximum likelihood (ML) estimation of the parameters of a 2-parameter Weibull life distribution for the case where the data are censored by failures due to an arbitrary number of independent 2-parameter Weibull failure modes.
openaire   +1 more source

WEIBULL parameter testing

2008
openaire   +2 more sources

Sequential Bayesian inference for Weibull distribution parameters with initial hyperparameter optimization for system reliability estimation

Reliability Engineering and System Safety, 2022
Susumu Shuto
exaly  

Multiple comparison for Weibull Parameters

Microelectronics Reliability, 1976
openaire   +1 more source

Comparative study of numerical methods for determining Weibull parameters for wind energy potential

Renewable and Sustainable Energy Reviews, 2014
Talha Arslan, Arzu Altın Yavuz, Veysel Yılmaz   +2 more
exaly  

Assessing different parameters estimation methods of Weibull distribution to compute wind power density

Energy Conversion and Management, 2016
Kasra Mohammadi, Omid Alavi, Ali Mostafaeipour   +2 more
exaly