On Suitability of Mixture of Generalized Exponential Models in Modeling Right-Censored Medical Datasets Using Conditional Expectations

Table 4

Bayes estimation for the right-censored 2CMGED under ELF and NIP.

	Technique	True parametric values
		20	LA	0.6904	1.6353	0.9522	2.2791	0.5739
(0.0216)	(0.0575)			(0.0471)	(0.1676)	(0.0228)
IS	0.7095		1.5349	0.9903	2.3689	0.6501
	(0.0046)		(0.0683)	(0.0088)	(0.1584)	(0.0048)
50	LA	0.6262	1.4935	0.8624	2.0479	0.5233
		(0.0153)	(0.0403)	(0.0343)	(0.1221)	(0.0164)
	IS	0.6387	1.3940	0.8995	2.1403	0.5900
		(0.0032)	(0.0482)	(0.0064)	(0.1129)	(0.0035)
100	LA	0.5617	1.3659	0.7532	1.8235	0.4668
		(0.0127)	(0.0347)	(0.0280)	(0.1011)	(0.0133)
	IS	0.5730	1.2798	0.7788	1.9146	0.5333
		(0.0028)	(0.0410)	(0.0051)	(0.0964)	(0.0028)
200	LA	0.4926	1.3308	0.7351	1.8197	0.4524
		(0.0079)	(0.0199)	(0.0147)	(0.0727)	(0.0070)
	IS	0.5115	1.2749	0.7653	1.8161	0.5132
		(0.0016)	(0.0250)	(0.0028)	(0.0784)	(0.0018)