Here we have used Type II progressive censoring with random removal for the Pareto lifetime model in the presence of outliers. The number of units removed at each failure time follows a Binomial distribution. The analysis ...

Here we have given some characterizations for the Pareto distribution in the presence of outliers. It is proved that a necessary and sufficient condition for f(x) to be a Pareto density function in the presence of outliers ...

Dixit and Jabbari Nooghabi (2010) had derived the MLE and UMVUE of the probability density

function (pdf) and cumulative distributive function (cdf). Further, it had been shown that MLE is

more efficient than ...

The maximum likelihood estimation (MLE) of the probability

density function (pdf) and cumulative distribution function (CDF)

are derived for the Pareto distribution. It has been shown that

MLEs are ...

The maximum likelihood (ML) and uniformly minimum variance unbiased estimators (UMVUE) of the probability density function (pdf), cumulative distribution function (cdf) and rth moment are derived for the Paretodistribution ...

The moment(MM) and least squares(LS) estimations of the parameters are derived for the Pareto distribution

in the presence of outliers. Further, we have derived a mixture method(MIX) of estimations with MM and ...