Estimation Using Suggested EM Algorithm Based on Progressively Type-II Censored Samples from a Finite Mixture of Truncated Type-I Generalized Logistic Distributions with an Application

Table 3

MSE’s under ordinary and algorithms of the MSE’s of , and .

	Method	MSE’s	MSE’s	MSE’s	MSE’s	MSE’s
	Ordinary algorithm	0.0215	0.5108	1.0112	0.1007	0.1019
	algorithm	0.0149	0.4402	0.9134	0.0916	0.0607
	Ordinary algorithm	0.0203	0.4116	0.7808	0.0727	0.0545
	algorithm	0.0102	0.3476	0.6085	0.0499	0.0496
	Ordinary algorithm	0.0116	0.3195	0.6115	0.0448	0.0408
	algorithm	0.0036	0.2601	0.5618	0.0241	0.0339
	Ordinary algorithm	0.0331	0.5217	1.1129	0.1317	0.2005
	algorithm	0.0217	0.4714	1.0214	0.1042	0.1105
	Ordinary algorithm	0.0407	0.5901	1.2205	0.2007	0.2702
	algorithm	0.0372	0.5004	1.1508	0.1505	0.1751
	Ordinary algorithm	0.0602	0.6317	1.3065	0.3177	0.3401
	algorithm	0.0513	0.6013	1.2201	0.2115	0.1905