Modeling and Bayesian Analysis of Time between the Breakdown of Electric Feeders

Table 2

The MLEs and Bayes estimators of with posterior risks under different loss functions.

Sample size	MLEs	Bayes estimators
		Lindley approximation					- approximation
		SELF	WLF	QLF	PLF	MIILF	SELF	WLF	QLF	PLF	MIILF
	50	4.1561	3.8308	3.8437	3.8554	3.8236	3.8165	3.0096	3.0096	3.0079	3.9858	3.9626
0.0149		0.0560	0.0129	0.0030	0.0144	0.0037	0.0472	0.0736	0.0031	0.04757	0.0554
100	4.2354	4.0632	4.0634	4.0638	4.0633	4.0633	3.9006	3.9016	3.8964	3.8843	3.8682
	0.0067	0.0001	0.0002	0.0001	0.0001	0.0001	0.0287	0.0009	0.0072	0.0329	0.0397
200	4.3412	4.2503	4.2484	4.2467	4.2513	4.2523	3.9339	3.9244	3.9323	3.9261	3.9182
	0.0031	0.0086	0.0019	0.0004	0.0020	0.0005	0.0142	0.0004	0.0028	0.0159	0.0186
300	4.3994	4.3368	4.3350	4.3333	4.3377	4.3387	3.9806	3.9818	3.9775	3.9735	3.9666
	0.0019	0.0082	0.0018	0.0003	0.0019	0.0004	0.0136	0.0013	0.0047	0.0140	0.0147
500	4.4638	4.4249	4.4235	4.4221	4.4256	4.4263	4.0027	4.0034	4.0010	4.9987	4.9949
	0.0011	0.0064	0.0014	0.0003	0.0014	0.0003	0.0077	0.0007	0.0027	0.0078	0.0081
700	4.4942	4.4666	4.4655	4.4644	4.4671	4.4677	4.022	4.0229	4.0213	4.0197	4.017
	0.0007	0.0051	0.0011	0.0002	0.0011	0.0002	0.0053	0.0006	0.0019	0.0053	0.0055
1000	4.5467	4.5271	4.5263	4.5255	4.5275	4.5279	1.0263	4.0265	4.0257	4.0244	4.0226
	0.0005	0.0039	0.0008	0.0002	0.0008	0.0002	0.0037	0.0002	0.0009	0.0037	0.0037
1500	4.5872	4.5739	4.5733	4.5727	4.5742	4.5745	4.0687	4.0687	4.0685	4.0676	4.066
	0.0003	0.0028	0.0006	0.0001	0.0006	0.0001	0.0023	0.0002	0.0004	0.0022	0.0021