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 8 Piece Sectional with Chaise intervals for the parameters are constructed based on the asymptotic d