On Estimation of Three-Component Mixture of Distributions via Bayesian and Classical Approaches

Table 2

MLVs and PVs with , and .

Variances
MLV	1.5	50	2.320214	4.715420	8.914210	0.007794	0.006861
		100	1.070912	2.394020	4.312200	0.004701	0.003987
		200	0.504841	1.220180	2.175420	0.002699	0.002267
	2	50	0.877500	2.312550	4.832860	0.005245	0.004459
		100	0.402951	1.069200	2.242510	0.002806	0.002371
		200	0.182921	0.540710	1.085260	0.001448	0.001219
PV (UP)	1.5	50	2.516370	5.525710	10.38160	0.008028	0.006968
		100	1.110690	2.500540	4.549870	0.004774	0.004055
		200	0.504418	1.260720	2.263810	0.002761	0.002303
	2	50	0.930862	2.429000	5.280310	0.005255	0.004462
		100	0.418080	1.109120	2.276240	0.002809	0.002375
		200	0.183232	0.562381	1.114090	0.001450	0.001219
PV (JP)	1.5	50	2.248490	4.678600	8.667130	0.007740	0.006805
		100	1.052080	2.354530	4.287430	0.004681	0.003981
		200	0.503192	1.214890	2.149440	0.002698	0.002259
	2	50	0.859103	2.257300	4.765290	0.005241	0.004456
		100	0.400117	1.067430	2.225230	0.002805	0.002369
		200	0.182605	0.543210	1.074960	0.001448	0.001218