A goodness of fit test for copulas based on Rosenblatt's transformation
Computational Statistics & Data Analysis
Copula model evaluation based on parametric bootstrap
Computational Statistics & Data Analysis
Estimation of Kendall's tau from censored data
Computational Statistics & Data Analysis
Editorial: Special issue on variable selection and robust procedures
Computational Statistics & Data Analysis
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A goodness-of-fit testing procedure for Archimedean copula (AC) models is developed based on right-censored data. The proposed approach extends an existing method, which is suitable for the Clayton model, to general AC models. Asymptotic properties of the proposed test statistics under the true model assumption are derived. Simulation analysis shows that the proposed test has reasonable performance. Finally, two real data examples are analyzed for illustrative purposes.