Table 3

Bias and RMSE of ELCM, CM and PML estimators of two-parameter transformed gumbel copula

τ = 0.01τ = 0.5τ = 0.8
α = 0.1β = 1.059α = 0.5β = 1.6α = 0.9β = 3.45
BiasRMSEBiasRMSEBiasRMSEBiasRMSEBiasRMSEBiasRMSE
n = 50
ELCM0.0490.0930.0280.1370.0310.1010.0310.2290.0390.1090.0880.356
CM−0.0750.2240.0420.121−0.0780.4520.0610.326−0.0610.742−0.2511.051
PML−0.0590.098−0.3240.3330.0600.299−0.2730.482−0.0520.5250.2411.011
n = 100
ELCM0.0230.0870.0210.1030.0210.0770.0290.1110.0310.0730.0160.299
CM−0.0350.234−0.0100.130−0.0250.4940.0140.353−0.0220.7210.1970.881
PML−0.0490.051−0.4660.470−0.0610.231−0.3270.4330.0140.3000.3190.731
n = 200
ELCM0.0110.0570.0150.0640.0130.0450.0130.0990.0170.0690.0270.109
CM−0.0200.1210.0110.1000.0290.367−0.0150.257−0.0250.5510.1550.704
PML−0.0410.038−0.2820.285−0.0810.164−0.3040.469−0.0220.157−0.0180.227
n = 500
ELCM0.0050.0370.0070.0440.0090.0310.0090.0910.0110.0100.0120.101
CM−0.0100.1020.0080.046−0.0140.2330.0110.120−0.0110.301−0.0630.423
PML−0.0400.061−0.2030.210−0.0460.100−0.3020.225−0.0190.2440.0280.200

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