%0 Journal Article
%T Skewness of Maximum Likelihood Estimators in the Weibull Censored Data
%J Symmetry | An Open Access Journal from MDPI
%D 2019
%R https://doi.org/10.3390/sym11111351
%X In this paper, we obtain a matrix formula of order n £¿ 1 / 2 , where n is the sample size, for the skewness coefficient of the distribution of the maximum likelihood estimators in the Weibull censored data. The present result is a nice approach to verify if the assumption of the normality of the regression parameter distribution is satisfied. Also, the expression derived is simple, as one only has to define a few matrices. We conduct an extensive Monte Carlo study to illustrate the behavior of the skewness coefficient and we apply it in two real datasets. View Full-Tex
%U https://www.mdpi.com/2073-8994/11/11/1351