Table 4 The BEs and PRs under PLF with parameters \(\lambda_{1} = 0.4, \, \lambda_{2} = 0.3, \, \lambda_{3} = 0.2, \, p_{1} = 0.5, \, p_{2} = 0.3.\)

\(t\)	\(n\)	Priors	BEs
\(t\)	\(n\)	Priors	\(\hat{\lambda }_{1}\)	\(\hat{\lambda }_{2}\)	\(\hat{\lambda }_{3}\)	\(\hat{p}_{1}\)	\(\hat{p}_{2}\)
00.9	30	UP	0.473699	0.392311	0.305913	0.490801	0.313692
		JP	0.438033	0.363620	0.260598	0.491943	0.313734
		IP	0.454581	0.374621	0.244704	0.478091	0.309406
	50	UP	0.440035	0.357303	0.252612	0.494011	0.309304
		JP	0.422166	0.334364	0.229331	0.494023	0.309486
		IP	0.431558	0.351277	0.238926	0.48492	0.307309
	100	UP	0.419892	0.325579	0.223074	0.497226	0.304248
		JP	0.412053	0.314160	0.219033	0.498013	0.304786
		IP	0.407296	0.318637	0.22410	0.487496	0.297906

\(t\)	\(n\)	Priors	PRs
00.9	30	UP	0.028845	0.038201	0.040083	0.015539	0.020761
		JP	0.028336	0.037192	0.039420	0.015563	0.020797
		IP	0.027668	0.035907	0.038064	0.014211	0.018355
	50	UP	0.016763	0.021748	0.021856	0.009720	0.013170
		JP	0.016717	0.021648	0.021716	0.009723	0.013189
		IP	0.016634	0.020992	0.021519	0.009087	0.012122
	100	UP	0.007254	0.011063	0.009877	0.005781	0.006787
		JP	0.007116	0.011043	0.009716	0.005793	0.006799
		IP	0.006623	0.009812	0.010062	0.002167	0.002596

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