Arslan, GuvencOncel, Sevgi Yurt2020-06-252020-06-252017Arslan, G., Oncel, S.Y.(2017). Parameter estimation of some Kumaraswamy-G type distributions. Math Sci 11, 131–138.2008-13592251-7456https://doi.org/10.1007/s40096-017-0218-0https://hdl.handle.net/20.500.12587/6965ONCEL, Sevgi YURT/0000-0002-0990-292X; Arslan, Guvenc/0000-0002-4770-2689Since Kum-G distributions have additional two parameters, the estimation of parameters becomes an interesting problem by itself. In this study, we consider parameter estimation of Kum-Weibull, Kum-Pareto and Kum-Power distributions by using the maximum likelihood and the maximum spacing methods. These three distributions are important in reliability and other applications. The Kum-Pareto and Kum-Power distributions have parameterdependent boundaries, which makes the estimation of parameters more interesting. We performed simulations for each of these considered distributions by using the R software for estimating parameters using the maximum likelihood and the maximum spacing method. In addition, an application of these distribution families to real data for modeling wind speed in a particular location in Turkey is discussed.eninfo:eu-repo/semantics/openAccessKumaraswamy distributionMaximum likelihoodMaximum spacingParameter estimationSimulationArticle11213113810.1007/s40096-017-0218-02-s2.0-85047237667Q1WOS:000404955200006N/A