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

Table 1

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	1.0745	0.8938	0.9099	0.9232	0.8837	0.8737	0.7400	0.7345	0.7290	0.7428	0.7456
0.0581		0.0183	0.0161	0.0048	0.2002	0.1599	0.0055	0.0055	0.0216	0.0055	0.0208
100	1.1586	1.0716	1.0727	1.0740	1.0713	1.0710	1.5259	1.5197	1.5135	1.5291	1.5322
	0.0319	0.0009	0.0011	0.0008	0.0007	0.6891	0.0035	0.0063	0.0117	0.0062	0.0115
200	1.2486	1.2067	1.2057	1.2048	1.2073	1.2079	1.4788	1.4760	1.4732	1.4803	1.4817
	0.0175	0.0013	0.0010	0.0007	0.0012	1.8066	0.0016	0.0028	0.0058	0.0029	0.0058
300	1.3171	1.2903	1.2893	1.2885	1.2907	1.2912	1.5946	1.5922	1.5898	1.5958	1.5971
	0.0125	0.0012	0.0009	0.0004	0.0009	2.6552	0.0015	0.0024	0.0040	0.0025	0.0041
500	1.3963	1.3809	1.3803	1.3797	1.3812	1.3815	1.5816	1.5803	1.5789	1.5824	1.5831
	0.0081	0.0008	0.0006	0.0003	0.0006	3.9292	0.0008	0.0014	0.0023	0.0014	0.0024
700	1.4373	1.4268	1.4263	1.4259	1.4270	1.4272	1.5595	1.5586	1.5576	1.5600	1.5605
	0.0059	0.0006	0.0004	0.0002	0.0004	4.2820	0.0005	0.0009	0.0017	0.0009	0.0016
1000	1.4962	1.4892	1.4889	1.4886	1.4893	1.4894	1.5648	1.5641	1.5634	1.5651	1.5654
	0.0043	0.0004	0.0003	0.0002	0.0003	5.3979	0.0004	0.0006	0.0012	0.0007	0.0012
1500	1.567	1.5628	1.5626	1.5625	1.5629	1.5630	1.5352	1.5348	1.5344	1.5353	1.5356
	0.0030	0.0003	0.0002	0.0001	0.0002	7.1255	0.0002	0.0004	0.0007	0.0004	0.0007