Research Article

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

Table 1

Bias and of all methods for uncontaminated data.

Methods
BiasBiasBias

10.00490.01660.00230.01270.00250.0114
0.00290.01940.00170.01400.00280.0123
0.00380.01660.00210.01280.00220.0114
0.00510.01790.00280.01350.00280.0117
0.00500.01790.00300.01350.00300.0118

20.00640.02130.00120.01661.2e-030.0131
0.01130.14960.00550.06012.3e-030.0406
0.00620.02330.00100.01771.6e-030.0136
0.00830.02200.00240.01711.0e-030.0136
0.00570.13960.00100.01824.2e-050.0143

60.01700.22210.01100.08490.00660.0642
0.10990.87340.07670.34990.04170.2006
0.01970.23460.01760.09630.01050.0749
0.00600.22480.00430.09080.00330.0641
0.03070.24020.00070.03160.04710.0632

100.02160.13920.01620.11550.01680.0938
0.06340.36000.06240.27690.06090.2530
0.03410.15290.03190.13110.01600.1030
0.03260.14190.01730.11820.01770.0948
0.07640.12640.07190.10900.07520.0871

150.08950.25010.07060.19920.03300.1789
0.15181.02600.11580.48440.14140.4132
0.07840.27490.07160.21370.05290.1945
0.08590.25600.06260.20350.03240.1805
0.09340.97540.08350.19490.08160.1661