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

Table 5

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

n	MLE	Bootstrap		Bayesian
		15	0.84792	0.86572	0.86475	0.79865	0.81457	0.78691
			0.02275	0.02165	0.01997	0.01836	0.01853	0.01589
20	0.81245	0.82341	0.80223	0.79845	0.81473	0.77999
	0.02136	0.01994	0.01836	0.01754	0.01785	0.01423
30	0.79899	0.81247	0.80569	0.81784	0.78549	0.79568
	0.01965	0.01787	0.01639	0.01588	0.01587	0.01286
40	0.80214	0.78989	0.79864	0.80081	0.77899	0.76954
	0.01699	0.01535	0.01468	0.01357	0.01366	0.01102
50	0.79984	0.78964	0.81200	0.80245	0.79842	0.77369
	0.01365	0.01258	0.01189	0.01101	0.01103	0.00998
60	0.80236	0.80112	0.79854	0.77639	0.80214	0.78965
	0.01189	0.01087	0.01023	0.00987	0.00976	0.00921
70	0.80964	0.81574	0.80247	0.80235	0.79696	0.77893
	0.00999	0.00953	0.00926	0.00911	0.00918	0.00872
80	0.79899	0.81047	0.75999	0.77458	0.76298	0.78921
	0.00947	0.00916	0.00894	0.00885	0.00886	0.00823
90	0.80269	0.77989	0.76583	0.80214	0.80101	0.77412
	0.00821	0.00769	0.00754	0.00737	0.00740	0.00684
100	0.80093	0.79845	0.81475	0.79865	0.80024	0.76989
	0.00695	0.00613	0.00586	0.00557	0.00559	0.00499