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Table 1 Computed value for ASE compared between the proposed wavelet estimator in our paper and kernel estimator (defined in lopez(2015)) based on two copulas for various sample sizes

From: Wavelet estimation of copula function based on censored data

Estimation methodsASE
n = 100n = 300n = 500
Wavelet Gumbel (τ = 0.25)1.071.251.36
Kernel (h = 0.4) Gumbel (τ = 0.25)1.321.451.57
Wavelet Clayton (τ = 0.25)1.151.822.02
Kernel (h = 0.4) Clayton (τ = 0.25)1.372.012.32
Wavelet Gumbel (τ = 0.75)6.137.327.59
Kernel (h = 0.4) Gumbel (τ = 0.75)6.637.667.95
Wavelet Clayton (τ = 0.75)7.208.749.11
Kernel (h = 0.4) Clayton (τ = 0.75)7.909.3110.32