Recently, a new entropy based divergence measure has been introduced which is much like
Kullback-Leibler divergence. This entropy measures the distance between an empirical and …

Recently, Liu defined a new entropy which measures the distance between a prescribed
and an empirical survival function. In this article, we use this measure called Differential …

The Weibull and Log-Normal distributions are frequently used in reliability to analyze lifetime
(or failure time) data. The ratio of maximized likelihood (RML) has been extensively used in …

Divergence measures play an important role in measuring the distance between two
probability distribution functions. Kullback–Leibler divergence function is a popular measure …

Weibull distributions are widely used in reliability and survival analysis. In this paper,
different methods to estimate the shape and scale parameters of the two-parameter Weibull …

ESTIMATION THE SHAPE, LOCATION AND SCALE PARAMETERS OF THE WEIBULL
DISTRIBUTION ABSTRACT 1.INTRODUCTION The shape and scale par Page 1 Zouaoui Chikr …

For some distributions, there is no available closed-form maximum likelihood estimator
(MLE). This could be a problem when estimating the parameters of state-space models or of …

The paper introduces a quantile-based cumulative Kullback–Leibler divergence and study
its various properties. Unlike the distribution function approach, the quantile-based measure …

The Weibull distribution has received much interest in reliability theory. The well-known
maximum likelihood estimators (MLE) of this family are not available in closed form …

In this short note, we derive a new bias adjusted maximum likelihood estimate for the shape
parameter of the Weibull distribution with complete data and type I censored data. The …