Tanis, Caner.Saracoglu, Bugra.2020-03-262020-03-262019Taniş, C., Saracoglu, B. (2019). Comparisons of Six Different Estimation Methods for Log-Kumaraswamy Distribution. Thermal Science, 23(6), S1839-S1847.0354-98362334-7163https://dx.doi.org/10.2298/TSCI190411344Thttps://hdl.handle.net/20.500.12395/37624In this paper, it is considered the problem of estimation of unknown parameters of log-Kumaraswamy distribution via Monte-Carlo simulations. Firstly, it is described six different estimation methods such as maximum likelihood, approximate bayesian, least-squares, weighted least-squares, percentile, and Cramer-von-Mises. Then, it is performed a Monte-Carlo simulation study to evaluate the performances of these methods according to the biases and mean-squared errors of the estimators. Furthermore, two real data applications based on carbon fibers and the gauge lengths are presented to compare the fits of log-Kumaraswamy and other fitted statistical distributions.en10.2298/TSCI190411344Tinfo:eu-repo/semantics/openAccesslog-Kumaraswamy distributionmaximum likelihood estimationCramer-von-Mises estimation methodleast-squares estimationpercentile estimationMonte-Carlo simulationArticle23S1839S1847WOS:000509489100005Q3