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

Table 3

MLVs and PVs with , and .

Variances
MLV	1.5	50	2.672150	5.994210	11.45520	0.005459	0.004672
		100	1.221460	2.898720	5.197530	0.002947	0.002483
		200	0.572900	1.419940	2.621400	0.001546	0.001293
	2	50	1.484210	3.532100	7.425120	0.004728	0.003996
		100	0.679930	1.635540	3.394550	0.002462	0.002075
		200	0.323310	0.806990	1.557430	0.001256	0.001057
PV (UP)	1.5	50	2.815860	6.274300	12.69820	0.005485	0.004675
		100	1.243740	2.991410	5.479060	0.002965	0.002492
		200	0.597448	1.450400	2.658400	0.001556	0.001306
	2	50	1.514350	3.867450	8.387800	0.004731	0.004000
		100	0.696689	1.700300	3.472690	0.002463	0.002076
		200	0.329232	0.816373	1.593910	0.001257	0.001057
PV (JP)	1.5	50	2.625140	5.725880	11.20090	0.005451	0.004670
		100	1.217280	2.814820	5.102490	0.002941	0.002480
		200	0.571080	1.410380	2.592280	0.001542	0.001289
	2	50	1.462580	3.461830	7.182980	0.004727	0.003995
		100	0.677330	1.607840	3.346260	0.002461	0.002075
		200	0.323280	0.806709	1.547360	0.001256	0.001056