Direct L-moments for Type-I censored data with application to the Kumaraswamy distribution

This paper suggests a modification of L-moments method to make it suitable for censored data directly (namely: Direct L-moments). This study concentrates on Type-I censored data. The modification is applied to estimate the unknown parameters of Kumaraswamy (Kw) distribution. The suggested modification is compared with L-moments via partial probability-weighted moments (PPWM) method and maximum likelihood (ML) method. The results are achieved using a comparative numerical study in terms of estimate of the unknown parameters, relative bias and root of mean square error (RMSE) using Monte Carlo simulation.