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

Table 7

Means estimates of (first row) with their MSEs (second row).

n	MLE	Bootstrap		Bayesian
		15	0.96547	0.95984	0.94875	0.95888	0.94779	0.95467
			0.05457	0.05134	0.04987	0.04889	0.04899	0.04564
20	0.97223	0.96452	0.97580	0.95879	0.94891	0.94996
	0.05223	0.04965	0.04765	0.04687	0.04691	0.04265
30	0.96458	0.95887	0.95321	0.95783	0.94782	0.94231
	0.04823	0.04684	0.04465	0.04355	0.04367	0.04087
40	0.93998	0.95781	0.94783	0.93945	0.94781	0.93995
	0.04569	0.04402	0.04189	0.04099	0.04101	0.03879
50	0.94551	0.95821	0.96321	0.95874	0.96457	0.94851
	0.04267	0.04188	0.04057	0.03925	0.03927	0.03768
60	0.97365	0.96875	0.95478	0.96112	0.94571	0.95124
	0.03955	0.03874	0.03798	0.03659	0.03677	0.03499
70	0.96321	0.94789	0.97841	0.96325	0.94782	0.93998
	0.03768	0.03566	0.03458	0.03356	0.03398	0.03197
80	0.94872	0.95874	0.96475	0.97845	0.97333	0.96112
	0.03462	0.03367	0.03258	0.03156	0.03174	0.02982
90	0.95780	0.96547	0.97362	0.94521	0.93999	0.94659
	0.03177	0.02999	0.02874	0.02798	0.02799	0.02695
100	0.95479	0.94782	0.95887	0.94997	0.94999	0.95147
	0.02764	0.02567	0.02432	0.02278	0.02294	0.02081