TY  - JOUR
TI  - Comparison of estimation methods for the Kumaraswamy Weibull distribution
AB  - In this study, the performances of the different parameter estimation methods are compared for the Kumaraswamy Weibull distribution via Monte Carlo simulation study. Maximum Likelihood (ML), Least Squares (LS), Weighted Least Squares (WLS), Cramer-von Mises (CM) and Anderson Darling (AD) methods are used in the comparisons. The results of the Monte Carlo simulation study demonstrate that ML estimators for the parameters of the Kumaraswamy Weibull distribution are more efficient than the other estimators. It is followed by AD estimator. At the end of the study, a real data set taken from the literature is used to illustrate the applicability of the Kumaraswamy Weibull distribution.
AU  - Ergenç, Cansu
AU  - SENOGLU, BIRDAL
DO  - 10.31801/cfsuasmas.1086966
PY  - 2023
JO  - Communications Faculty of Sciences University of Ankara Series A1: Mathematics and Statistics
VL  - 72
IS  - 1
SN  - 1303-5991
SP  - 1
EP  - 21
DB  - TRDizin
UR  - http://search/yayin/detay/1161012
ER  -