Discriminating between the Lognormal and Weibull Distributions under Progressive Censoring
Abstract
In this paper, the ratio of maximized likelihood and
Minimized Kullback-Leibler Divergence methods are discussed for discrimination
between log-normal and Weibull distributions. The progressive Type-II right
censored sample is considered in the study. The probability of correct
selections is simulated and compared to investigate the performance of the
procedures for different censoring schemes and parameter settings.
Keywords
Discrimination,Log-normal distribution,Power analysis,Simulation,Progressive type-II right censoring
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