Dong, S.; Tao, S.; Chen, C., and Soares, C.G., 2014. Interval estimations of return wave height based on maximum entropy distribution.

Five different interval estimation methods for extreme wave heights based on maximum entropy distribution are considered and compared. Three are parametric methods: Woodruff, maximum likelihood, and sample quantile asymptotic, and two are nonparametric methods: order statistics and sign test. The extreme significant wave height is fitted by a maximum entropy distribution, which is then used to conduct numerical simulations so as to apply the interval estimation methods to the 100 year return period estimates. These simulation results show that parametric methods have generally better performance than the nonparametric ones. Finally, a case study using the extreme wave height from Weizhou Island in the South China Sea is considered, and it is shown that the maximum likelihood method gives the best interval estimation for the actual data.