Classical and Bayesian Estimation of the Inverse Weibull Distribution: Using Progressive Type-I Censoring Scheme

Table 10

MLL, Bayesian, and St.E and ACI based on the PCTI under various censoring schemes for data set II.

Sch.		Parm.	MLL			MCMC			Lindley
			Estimate	St.E	ACI	Estimate	St.E	HPD	Estimate
I	0		2.9651	0.6477	(1.6130, 5.6993)	2.9660	9.34	(2.9464, 2.9853)	2.9793
			27.0113	1.7130	(23.3172, 33.3233)	27.0115	1.01	(26.9920, 27.0312)	27.0107
	25		3.5567	0.8081	(2.0791, 6.0904)	3.5572	9.72	(3.5382, 3.5767)	3.5741
			44.8461	3.3430	(24.0343, 64.6019)	44.8460	1.02	(44.8270, 44.8656)	44.8457
	50		3.2201	0.9133	(1.5435, 7.6124)	3.2204	9.93	(3.2016, 3.2404)	3.2475
			35.1225	4.9036	(23.8966, 46.6325)	35.1224	1.06	(35.1022, 35.1414)	35.1216
II	0		3.5062	0.7624	(3.0917, 7.3792)	3.5068	9.83	(3.48812, 3.5276)	3.5222
			38.4492	2.7722	(23.9207, 53.5191)	38.4491	1.02	(38.4290, 38.4685)	38.4487
	25		4.6583	1.0922	(2.9813, 10.7054)	4.6585	9.88	(4.6387, 4.6772)	4.6790
			59.4018	9.4702	(28.3353, 78.0982)	59.4020	1.06	(29.3828, 80.4223)	59.4016
	50		3.9068	1.1731	(2.0377, 12.2449)	3.9066	9.97	(3.8868, 3.9259)	3.9306
			48.4916	13.8929	(18.7758, 74.7383)	48.4915	1.09	(48.4720, 48.5111)	48.4911

Note: ACI: asymptotic confidence interval, Parm.: parameter, Schs.: scheme, and St.E: standard error.