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

Table 5

Simulation results of Log-XLindley distribution at

	Measure	MLE	LSE	WLE	CVME	ADE	RADE	MPSE
10	AVEs	5.5013	5.3804	5.3639	5.5061	5.3098	5.8008	4.9222
25		5.1948	5.1514	5.1150	5.1463	5.1282	5.2526	4.8853
50		5.0916	5.0733	5.0654	5.1075	5.0634	5.1335	4.9068
100		5.0458	5.0280	5.0344	5.0595	5.0234	5.0470	4.9302
150		5.0306	5.0183	5.0276	5.0362	5.0169	5.0387	4.9513
200		5.0262	5.0203	5.0145	5.0300	5.0172	5.0362	4.9613
10	AABs	0.5013	0.3804	0.3639	0.5061	0.3098	0.8008	0.0778
25		0.1948	0.1514	0.1150	0.1463	0.1282	0.2526	0.1147
50		0.0916	0.0733	0.0654	0.1075	0.0634	0.1335	0.0932
100		0.0458	0.0280	0.0344	0.0595	0.0234	0.0470	0.0698
150		0.0306	0.0183	0.0276	0.0362	0.0169	0.0387	0.0487
200		0.0262	0.0203	0.0145	0.0300	0.0172	0.0362	0.0387
10	MREs	0.1003	0.0761	0.0728	0.1012	0.0620	0.1602	0.0156
25		0.0390	0.0303	0.0230	0.0293	0.0256	0.0505	0.0229
50		0.0183	0.0147	0.0131	0.0215	0.0127	0.0267	0.0186
100		0.0092	0.0056	0.0069	0.0119	0.0047	0.0094	0.0140
150		0.0061	0.0037	0.0055	0.0072	0.0034	0.0077	0.0097
200		0.0052	0.0041	0.0029	0.0060	0.0034	0.0072	0.0077
10	MSEs	3.8178	5.2855	4.9398	5.6144	3.7366	10.611	2.7310
25		1.1752	1.4701	1.2850	1.4347	1.2187	2.0639	0.9440
50		0.5053	0.6850	0.5959	0.6748	0.5949	0.8864	0.4778
100		0.2433	0.3138	0.2849	0.3303	0.2777	0.3985	0.2350
150		0.1546	0.2019	0.1884	0.2151	0.1795	0.2470	0.1519
200		0.1172	0.1531	0.1393	0.1554	0.1347	0.1942	0.1125