A Unit Probabilistic Model for Proportion and Asymmetric Data: Properties and Estimation Techniques with Application to Model Data from SC16 and P3 Algorithms

Table 3

Simulation results of Log-XLindley distribution at

	Measure	MLE	LSE	WLE	CVME	ADE	RADE	MPS
10	AVEs	1.6405	1.6259	1.5908	1.6281	1.5833	1.6962	1.4809
25		1.5517	1.5374	1.5358	1.5386	1.5307	1.5690	1.4704
50		1.5261	1.5128	1.5155	1.5202	1.5217	1.5315	1.4816
100		1.5140	1.5077	1.5093	1.5107	1.5093	1.5174	1.4859
150		1.5092	1.5045	1.5060	1.5053	1.5069	1.5126	1.4895
200		1.5070	1.5027	1.5051	1.5061	1.5038	1.5094	1.4903
10	AABs	0.1405	0.1259	0.0908	0.1281	0.0833	0.1962	0.0191
25		0.0517	0.0374	0.0358	0.0386	0.0307	0.0690	0.0296
50		0.0261	0.0128	0.0155	0.0202	0.0217	0.0315	0.0184
100		0.0140	0.0077	0.0093	0.0107	0.0093	0.0174	0.0141
150		0.0092	0.0045	0.0060	0.0053	0.0069	0.0126	0.0105
200		0.0070	0.0027	0.0051	0.0061	0.0038	0.0094	0.0097
10	MREs	0.0937	0.0839	0.0606	0.0854	0.0555	0.1308	0.0128
25		0.0344	0.0249	0.0239	0.0257	0.0205	0.0460	0.0197
50		0.0174	0.0085	0.0103	0.0134	0.0145	0.0210	0.0123
100		0.0093	0.0051	0.0062	0.0071	0.0062	0.0116	0.0094
150		0.0061	0.0030	0.0040	0.0036	0.0046	0.0084	0.0070
200		0.0047	0.0018	0.0034	0.0041	0.0025	0.0063	0.0064
10	MSEs	0.2624	0.4250	0.3263	0.3608	0.2614	0.6702	0.1906
25		0.0801	0.0977	0.0906	0.0965	0.0883	0.1331	0.0702
50		0.0355	0.0438	0.0390	0.0468	0.0406	0.0582	0.0325
100		0.0172	0.0215	0.0203	0.0217	0.0193	0.0284	0.0160
150		0.0110	0.0139	0.0130	0.0137	0.0129	0.0174	0.0110
200		0.0084	0.0102	0.0095	0.0102	0.0092	0.0126	0.0079