Table 1.

Monte Carlo p-values of the test for the original dataset subject to censoring.

Benchmark	p-value of	p-value of	AIC	2-step estimator
Gumbel	1.0000	0.9980	−0.1447	1.4428
Clayton	0.0015	0.0004	−0.0000	0.5152
Frank	0.0688	0.0394	−0.1009	0.0473
Joe	0.3968	0.2533	−0.1263	1.6466
Gaussian	0.1692	0.0724	−0.1125	0.4668
Survival Clayton	0.6295	0.4298	−0.1380	0.7825
Mix Clayton & Gumbel	0.9469	0.9794	−0.1420	(0.1505, 1.4433, 0.0003)