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

Table 13

Comparison of estimates under conventional and CE censoring using ELF, IP, and IS.

	Technique	True parametric values					KS; Statistic	value
		20	Conventional	0.6861	1.4842	0.9574			2.2906	0.6286	0.1689	0.7631
(0.0041)	(0.1612)			(0.0081)	(0.1480)	(0.0045)
CE	0.6450		1.4337	0.9283	2.1584	0.6018	0.1579	0.7926
	(0.0036)		(0.1401)	(0.0072)	(0.1334)	(0.0040)
50	Conventional	0.6201	1.3512	0.8734	2.0747	0.5728	0.1518	0.8065
		(0.0030)	(0.1138)	(0.0057)	(0.1048)	(0.0031)
	CE	0.5812	1.3305	0.8641	1.9455	0.5399	0.1402	0.8627
		(0.0027)	(0.1012)	(0.0051)	(0.0913)	(0.0028)
100	Conventional	0.5576	1.3301	0.8119	1.8707	0.5190	0.1331	0.8886
		(0.0026)	(0.0931)	(0.0046)	(0.0898)	(0.0027)
	CE	0.5203	1.3041	0.7917	1.7090	0.4970	0.1326	0.9141
		(0.0023)	(0.0807)	(0.0041)	(0.0776)	(0.0024)
200	Conventional	0.4990	1.2740	0.7733	1.7772	0.5123	0.0864	0.9370
		(0.0015)	(0.0573)	(0.0025)	(0.0725)	(0.0018)
	CE	0.5028	1.2124	0.7508	1.5878	0.4915	0.0624	0.9684
		(0.0014)	(0.0494)	(0.0021)	(0.0634)	(0.0016)