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Asymmetric Randomly Censored Mortality Distribution: Bayesian Framework and Parametric Bootstrap with Application to COVID-19 Data

This Salami 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 constructed based on the asymptotic distribution of the maxi

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