Asymmetric Randomly Censored Mortality Distribution: Bayesian Framework and Parametric Bootstrap with Application to COVID-19 Data
This article investigates a survival analysis under randomly censored mortality distribution.From the perspective of frequentist, we derive the point estimations through the method of maximum likelihood estimation.Furthermore, approximate confidence intervals for the parameters are royal nomadic 5413 rug constructed based on the asymptotic distribu