With the rapid development of statistics, information entropy is proposed as an important indicator used to quantify uncertainty. In this paper, maximum likelihood and Bayesian methods are obtain estimators for a two-parameter Burr type XII distribution under progressive type-II censored data. part estimation, asymptotic confidence intervals calculated. we consider non-informative informative p...

Creating suitable, data-friendly models to interpret statistical data has been a goal of numerous researchers. Even new generalizations with several parameters are developed handle complex data. The Burr XIII distribution utilized extensively in software reliability, failure censored plans, future observables prediction, ball-bearing loss, tax revenue, etc. Abdel-Ghaly et al.(1997), Wu and Yu (...

We propose a new two-parameter discrete model, called Type-II half-logistics exponential (DTIIHLE) distribution using the survival discretization approach. The DTIIHLE can be utilized to model COVID-19 data. parameters are estimated maximum likelihood method. A simulation study is conducted evaluate performance of estimators. usefulness proposed evaluated two real-life data sets. provides super...

We introduce a four-parameter distribution, called the Zografos-Balakrishnan Burr XII distribution. Our purpose is to provide generalization that may be useful still more complex situations. The new distribution an interesting alternative describe income distributions and can also applied in actuarial science, finance, bioscience, telecommunications modelling lifetime data, for example. It cont...