Autori
Perrone, Elisa
Rappold, Andreas
Muller, Werner G.

Titolo
Ds-optimality in copula models
Periodico
Statistical methods & applications : Journal of the Italian Statistical Society
Anno: 2017 - Volume: 26 - Fascicolo: 3 - Pagina iniziale: 403 - Pagina finale: 418

Optimum experimental design theory has recently been extended for parameter estimation in copula models. The use of these models allows one to gain in flexibility by considering the model parameter set split into marginal and dependence parameters. However, this separation also leads to the natural issue of estimating only a subset of all model parameters. In this work, we treat this problem with the application of the Ds-optimality to copula models. First, we provide an extension of the corresponding equivalence theory. Then, we analyze a wide range of flexible copula models to highlight the usefulness of Ds-optimality in many possible scenarios. Finally, we discuss how the usage of the introduced design criterion also relates to the more general issue of copula selection and optimal design for model discrimination



SICI: 1618-2510(2017)26:3<403:DICM>2.0.ZU;2-1

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