Parameter estimation of K distribution based on second-kind statistics

The parameters of K distribution are estimated in this paper, and the log-cumulant estimator is proposed based on second-kind statistics. The performance of the log-cumulant estimator is tested on the Monte Carlo simulations. Parameter estimation results demonstrate that the log-cumulant estimator leads to high estimation accuracy for the small values of the shape parameter.