Inference about the bivariate new extended Weibull distribution based on complete and censored data

Abstract

In this article, we have discussed the problem of point estimation of the three unknown parameters of a bivariate new extended Weibull distribution under complete and randomly right-censored samples. The expectation-maximization algorithm is used to estimate the unknown parameters. Simulation experiments are performed to see the effectiveness of the estimators for complete and censored data. One dataset has been considered to illustrate the practical utility of the article.

Keywords:

• Bivariate distribution
• EM algorithm
• NEW distribution
• Pseudo-likelihood
• Random censoring