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

Table 4

Simulation results of Log-XLindley distribution at

	Measure	MLE	LSE	WLE	CVME	ADE	RADE	MPSE
10	AVEs	2.1597	2.1371	2.1398	2.1656	2.1421	2.2619	1.9954
25		2.0730	2.0571	2.0533	2.0674	2.0478	2.0715	1.9633
50		2.0363	2.0288	2.0277	2.0309	2.0168	2.0480	1.9634
100		2.0166	2.0140	2.0106	2.0149	2.0104	2.0161	1.9780
150		2.0101	2.0117	2.0066	2.0116	2.0058	2.0151	1.9823
200		2.0077	2.0068	2.0084	2.0093	2.0035	2.0085	1.9851
10	AABs	0.1597	0.1371	0.1398	0.1656	0.1421	0.2619	0.0046
25		0.0730	0.0571	0.0533	0.0674	0.0478	0.0715	0.0367
50		0.0363	0.0288	0.0277	0.0309	0.0168	0.0480	0.0366
100		0.0166	0.0140	0.0106	0.0149	0.0104	0.0161	0.0220
150		0.0101	0.0117	0.0066	0.0116	0.0058	0.0151	0.0177
200		0.0077	0.0068	0.0084	0.0093	0.0035	0.0085	0.0149
10	MREs	0.0799	0.0686	0.0699	0.0828	0.0710	0.1310	0.0023
25		0.0365	0.0285	0.0266	0.0337	0.0239	0.0357	0.0184
50		0.0181	0.0144	0.0139	0.0154	0.0084	0.0240	0.0183
100		0.0083	0.0070	0.0053	0.0075	0.0052	0.0080	0.0110
150		0.0051	0.0059	0.0033	0.0058	0.0029	0.0075	0.0088
200		0.0039	0.0034	0.0042	0.0046	0.0018	0.0043	0.0075
10	MSEs	0.4670	0.6691	0.7416	0.7252	0.5664	1.2537	0.3924
25		0.1492	0.1866	0.1810	0.1868	0.1633	0.2314	0.1277
50		0.0671	0.0872	0.0809	0.0867	0.0753	0.1122	0.0621
100		0.0317	0.0419	0.0380	0.0406	0.0369	0.0531	0.0303
150		0.0202	0.0281	0.0245	0.0260	0.0238	0.0332	0.0199
200		0.0155	0.0203	0.0183	0.0207	0.0176	0.0245	0.0150