Parameter Estimation of Weibull Distribution Based on Second-Kind Statistics
Published online: Sep 22, 2010
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DOI: https://doi.org/10.24138/jcomss.v6i3.188
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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
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Z. Sun and C. Han, "Parameter Estimation of Weibull Distribution Based on Second-Kind Statistics," in Journal of Communications Software and Systems, vol. 6, no. 3, pp. 109-114, September 2010, doi: 10.24138/jcomss.v6i3.188
@article{sun2010parameterestimation,
author = {Sun, Zengguo and Han, Chongzhao},
title = {{Parameter Estimation of Weibull Distribution Based on Second-Kind Statistics}},
journal = {Journal of Communications Software and Systems},
month = sep,
year = {2010},
volume = {6},
number = {3},
pages = {109--114},
doi = {10.24138/jcomss.v6i3.188},
url = {https://doi.org/10.24138/jcomss.v6i3.188}
}