Table 3.

Summary statistics for the Dirichlet parameter estimates in the simulation study.

		state n = 1				state n = 2
Para.	Meth.	ME	SE	CC	MAD	ME	SE	CC	MAD
${\mathrm{\lambda }}_1^{(n)}$	MLE	4.003	0.101	0.936	0.049	11 1.000	0.024	0.956	0.004
	2-stage	4.002	0.119	0.938		1.000	0.025	0.956
${\mathrm{\lambda }}_2^{(n)}$	MLE	3.000	0.075	0.930	0.030	2.004	0.047	0.956	0.013
	2-stage	2.999	0.085	0.936		2.005	0.050	0.952
${\mathrm{\lambda }}_3^{(n)}$	MLE	2.003	0.048	0.944	0.012	3.005	0.071	0.952	0.030
	2-stage	2.003	0.050	0.952		3.005	0.080	0.950
${\mathrm{\lambda }}_4^{(n)}$	MLE	1.000	0.024	0.948	0.004	4.011	0.094	0.960	0.049
	2-stage	1.000	0.025	0.954		4.012	0.114	0.950

Columns in the table are: Para. = parameter, Meth. = applied estimation method, ME = mean estimate, SE = standard error of estimates, CC = coverage proportion of confidence intervals, MAD = mean absolute deviation between estimates obtained by the two different methods.