Maximum likelihood estimation of the weibull distribution with reduced bias

HIGHLIGHTS

• who: Enes Makalic from the Melbourne School of Population and Global Health, University of Melbourne, Parkville, VIC, Australia have published the research: Maximum likelihood estimation of the Weibull distribution with reduced bias, in the Journal: (JOURNAL)

SUMMARY

Given data y=(y1,.., yn ), a common approach to estimating the parameters of a Weibull distribution, θ, is via the method of maximum_likelihood (ML), in which the parameters are set to values that maximise the log-likelihood of the data n-2 k̂ML (y), n - 0.68 and later extended his approach to censored data (Ross . . .

 



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