Original scientific paper
https://doi.org/10.24138/jcomss.v6i3.188
Parameter Estimation of Weibull Distribution Based on Second-Kind Statistics
Zengguo Sun
; Xian Jiaotong University, Xian Shaanxi, China
Chongzhao Han
; Xian Jiaotong University, Xian Shaanxi, China
Abstract
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. Parameter estimation 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.
Keywords
Weibull distribution; parameter estimation; second-kind statistics; log-cumulant estimator
Hrčak ID:
180410
URI
Publication date:
25.9.2010.
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