Some New Robust Estimators for Circular Logistic Regression Model with Applications on Meteorological and Ecological Data

Table 3

Bias and of all methods for data with various percentages of misclassified errors (30% and 40%).

	% of misc error	Methods
			Bias		Bias		Bias
1	30		2.8247	8.0053	3.7247	7.0043	2.6147	6.0032
			0.4354	0.5614	0.3254	0.6514	0.2154	0.5414
			2.0318	4.1658	1.0208	3.1548	1.0108	3.0448
			2.8258	8.0112	2.7158	8.0012	2.6058	8.0001
			0.3752	0.5560	0.2642	0.4450	0.1532	0.3340
2			3.8247	9.0053	4.7247	8.0043	3.6147	7.0032
			0.5354	0.6614	0.4254	0.7514	0.3154	0.6414
			3.0318	5.1658	2.0208	4.1548	2.0108	4.0448
			3.8258	9.0112	3.7158	9.0012	3.6058	9.0001
			0.4752	0.6560	0.3642	0.5450	0.2532	0.4340
6			3.9347	9.1153	4.8347	8.1143	3.7247	7.1132
			0.5464	0.6724	0.4364	0.7624	0.3264	0.6524
			3.0428	5.1768	2.0318	4.1658	2.0218	4.0558
			3.8368	9.0222	3.7268	9.0122	3.6168	9.0000
			0.4862	0.6670	0.3752	0.5560	0.2642	0.4450
10			3.9358	9.1164	4.8358	8.1154	3.7258	7.1143
			0.3243	0.4503	0.2143	0.5403	0.1043	0.4303
			2.0207	4.0547	1.0107	3.0437	1.0007	3.0337
			2.7147	8.0001	2.6047	8.0001	2.5047	8.0000
			0.2641	0.6650	0.1531	0.3340	0.0421	0.2230
15			3.8258	9.0064	4.7258	8.0054	3.6158	7.0043
			0.2143	0.3403	0.1043	0.4303	0.0043	0.3203
			2.1307	4.1647	1.1207	3.1537	1.1107	3.1437
			2.8247	8.1101	2.7147	8.1101	2.6147	8.1100
			0.3741	0.7750	0.2631	0.4440	0.1521	0.3330
1	40		2.8838	8.5320	2.7727	8.4210	2.6616	8.3100
			0.7716	0.8849	0.7605	0.8738	0.7504	0.8627
			2.4287	5.9337	2.3177	5.0227	2.2066	5.0116
			2.8771	8.3148	2.7660	8.2037	2.6550	8.1026
			0.0515	0.3961	0.0404	0.2870	0.0314	0.2980
6			2.9938	8.6420	2.8827	8.5310	2.7716	8.4200
			0.8816	0.9949	0.8705	0.9838	0.8604	0.9727
			2.5387	5.0437	2.4277	5.1327	2.3166	5.1216
			2.9871	8.4248	2.8760	8.3137	2.7650	8.2126
			0.1615	0.4071	0.0515	0.2981	0.0425	0.2091
10			3.0049	9.5421	3.9828	9.6311	3.8717	9.5201
			0.9926	1.0030	0.9817	1.0949	0.9715	1.0838
			2.8753	5.3704	2.7742	5.2713	2.6631	5.1612
			2.7189	8.4842	2.6087	8.3731	2.5076	8.2621
			0.5161	0.7140	0.1505	0.8129	0.2504	0.2013
15			3.1150	9.6532	3.0939	9.7422	3.9828	9.6312
			1.0937	1.1141	1.9817	1.1050	1.0626	1.9747
			2.9863	5.4817	2.8853	5.3824	2.7741	5.2723
			2.8290	8.5953	2.7198	8.4842	2.6187	8.3732
			0.6272	0.8251	0.2616	0.9230	0.3615	0.3124