The present communication develops the tools for estimation and prediction of the Burr-III
distribution under unified progressive hybrid censoring scheme. The maximum likelihood …

In this paper, inference for a competing risks model is studied when latent failure times
follow Kumaraswamy distribution and causes of failure are partially observed. Under …

In this article, to estimate the generalized process capability index (GPCI) Cpyk when the
process follows the power Lindley distribution, we have used five methods of estimation …

SYNOPTIC ABSTRACT We consider estimation of unknown parameters of a two-parameter
Kumaraswamy distribution with hybrid censored samples. We obtain maximum likelihood …

For a lognormal distribution, in Bayesian framework, we consider estimation of unknown
parameters and prediction of future observable when it is known that samples are hybrid …

In this paper, statistical inference for a competing risks model is discussed when latent
failure times belong to a general family of inverted exponentiated distributions. Based on a …

We study a competing risks model under the assumption that latent failure times follow
family of Lomax distributions. We obtain various inferences for model parameters when …

We consider estimation of unknown parameters of a Burr XII distribution based on
progressively Type I hybrid censored data. The maximum likelihood estimates are obtained …

The problem of estimating unknown parameters of a two-parameter distribution with bathtub
shape is considered under the assumption that samples are hybrid censored. The maximum …

This study considers the problem of estimating unknown parameters of the Burr XII
distribution under classical and Bayesian frameworks when samples are observed in the …