The Markov Bernoulli Lomax with Applications Censored and COVID-19 Drought Mortality Rate Data

In this article, we present a Markov Bernoulli Lomax (MB-L) model, which is obtained by countable mixture of and distributions, with decreasing unimodal hazard rate function (HRF). The new model contains Marshall- Olkin distributions as special case. mathematical properties, behavior probability density (PDF), HRF, rth moments, moment generating (MGF) minimum (maximum) Markov-Bernoulli Geometric (MBG) stable are studied. Moreover, the estimates parameters maximum likelihood obtained. estimation (MLE), bias mean squared error (MSE) MB-L inspected simulation study. Finally, distribution was fitted to randomly censored COVID-19 (complete) data.