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

Table 1

Simulation results of Log-XLindley distribution at

	Measure	MLE	LSE	WLE	CVME	ADE	RADE	MPSE
10	AVEs	0.5269	0.5244	0.5214	0.5296	0.5177	0.5445	0.4933
25		0.5080	0.5074	0.5059	0.5107	0.5080	0.5162	0.4876
50		0.4992	0.5048	0.5036	0.5057	0.5028	0.5067	0.4881
100		0.4973	0.5015	0.5022	0.5037	0.5014	0.5032	0.4897
150		0.4940	0.5011	0.5015	0.5015	0.5012	0.5024	0.4897
200		0.4945	0.5009	0.5007	0.5009	0.5018	0.5033	0.4903
10	AABs	0.0269	0.0244	0.0214	0.0296	0.0177	0.0445	0.0067
25		0.0080	0.0074	0.0059	0.0107	0.0080	0.0162	0.0124
50		0.0008	0.0048	0.0036	0.0057	0.0028	0.0067	0.0119
100		0.0027	0.0015	0.0022	0.0037	0.0014	0.0032	0.0103
150		0.0060	0.0011	0.0015	0.0015	0.0012	0.0024	0.0103
200		0.0055	0.0009	0.0007	0.0009	0.0018	0.0033	0.0097
10	MREs	0.0538	0.0488	0.0429	0.0593	0.0354	0.0889	0.0133
25		0.0159	0.0149	0.0118	0.0214	0.0161	0.0324	0.0248
50		0.0016	0.0097	0.0073	0.0114	0.0056	0.0135	0.0238
100		0.0055	0.0030	0.0044	0.0073	0.0029	0.0063	0.0205
150		0.0119	0.0021	0.0030	0.0030	0.0024	0.0048	0.0207
200		0.0109	0.0018	0.0015	0.0018	0.0037	0.0066	0.0195
10	MSEs	0.0201	0.0238	0.0231	0.0262	0.0193	0.0459	0.0169
25		0.0074	0.0080	0.0069	0.0080	0.0071	0.0101	0.0070
50		0.0038	0.0037	0.0033	0.0037	0.0032	0.0044	0.0037
100		0.0019	0.0017	0.0017	0.0018	0.0016	0.0022	0.0021
150		0.0013	0.0012	0.0011	0.0012	0.0011	0.0014	0.0014
200		0.0010	0.0009	0.0008	0.0009	0.0008	0.0011	0.0011