Table 9 The BEs and PRs under DLF 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	\(\hat{\lambda }_{1}\)	\(\hat{\lambda }_{2}\)	\(\hat{\lambda }_{3}\)	\(\hat{p}_{1}\)	\(\hat{p}_{2}\)
00.6	30	UP	0.614231	0.530024	0.483540	0.416600	0.382451
		JP	0.574220	0.493455	0.438801	0.424322	0.394551
		IP	0.601124	0.503371	0.546788	0.409701	0.380052
	50	UP	0.536788	0.450774	0.411580	0.436321	0.366014
		JP	0.510114	0.427113	0.404551	0.439975	0.374402
		IP	0.530047	0.429989	0.326741	0.417330	0.355001
	100	UP	0.473310	0.376775	0.320046	0.463007	0.330767
		JP	0.460124	0.366609	0.319344	0.463551	0.355771
		IP	0.493320	0.400311	0.315664	0.458771	0.328003

\(t\)	\(n\)	Priors	PRs
00.6	30	UP	0.365771	0.453304	0.503378	0.167012	0.323752
		JP	0.402257	0.474830	0.558332	0.175506	0.340057
		IP	0.346681	0.417745	0.479010	0.130221	0.278700
	50	UP	0.277740	0.361421	0.426609	0.117452	0.217740
		JP	0.289918	0.368892	0.457200	0.139820	0.227327
		IP	0.256744	0.317054	0.374450	0.105881	0.175584
	100	UP	0.193221	0.256772	0.303054	0.084452	0.135421
		JP	0.207784	0.266681	0.337451	0.106671	0.158544
		IP	0.168406	0.214771	0.273341	0.053347	0.098557

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