Parameter Estimation of Weibull Distribution Based on Second-Kind Statistics

Zengguo Sun, Chongzhao Han


The log-cumulant estimator is proposed to estimate the parameters of Weibull distribution based on second-kind statistics. With the explicit closed form expressions, the log-cumulant estimator is computationally efficient. Parameterestimation results from Monte Carlo simulation and real synthetic aperture radar (SAR) image demonstrate that the log-cumulant estimator leads to better performance when compared to the moment estimator.


Weibull distribution, parameter estimation, second-kind statistics, log-cumulant estimator

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