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

Table 3

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

n	MLE	Bootstrap		Bayesian
		15	1.12453	1.2457	1.12473	1.08979	1.12478	1.09654
			0.08022	0.07998	0.07765	0.07547	0.07600	0.07123
20	1.09654	1.11238	1.09245	1.08451	1.04512	0.99988
	0.07863	0.07536	0.07239	0.06974	0.07024	0.06784
30	0.10256	1.03691	0.99979	0.10364	1.10068	1.0079
	0.07435	0.07147	0.06847	0.06538	0.06599	0.06215
40	1.03690	1.09997	1.04796	0.99966	1.00579	1.00899
	0.07123	0.06845	0.06547	0.06255	0.06261	0.05874
50	1.02368	1.02457	1.12470	1.03289	1.02547	1.02458
	0.06632	0.06324	0.05945	0.05638	0.05647	0.05124
60	1.10091	1.02398	0.99912	1.10032	1.00687	0.99745
	0.06158	0.05733	0.05365	0.05147	0.05155	0.04762
70	1.02358	1.06587	1.03698	0.98999	1.10001	1.00478
	0.05564	0.05321	0.04974	0.04658	0.04701	0.04139
80	1.03625	1.10078	1.12470	1.05689	1.02478	0.99984
	0.05100	0.04769	0.04568	0.04412	0.04423	0.03761
90	1.03546	1.02478	1.08974	1.10457	1.08974	1.09654
	0.04366	0.04124	0.03884	0.03712	0.03765	0.02984
100	0.99974	1.02487	0.99587	1.00235	0.99947	1.0003
	0.03181	0.03001	0.02995	0.02564	0.02571	0.02093