Comparison of direct l-moments, L-moments and ml estimation methods for Weibull distribution with type-I censoring

Abstract EN

This paper presents a comparison of three different methods, Direct L-moments,  L-moments via partial probability-weighted moments (PPWM) and maximum likelihood (ML) methods, respectively, to estimate the two parameters of Weibull distribution with Type-I censored data.

These methods are compared in terms of estimate of the unknown parameters, relative bias and root of mean square error (RMSE) using Monte Carlo simulation to select the best method.

Also, a real data set is considered to achieve the results.