Autori
De Santis, Fulvio
Gubbiotti, Stefania

Titolo
On the predictive performance of a non-optimal action in hypothesis testing
Periodico
Statistical methods & applications : Journal of the Italian Statistical Society
Anno: 2021 - Volume: 30 - Fascicolo: 2 - Pagina iniziale: 689 - Pagina finale: 709

In Bayesian decision theory, the performance of an action is measured by its posterior expected loss. In some cases it may be convenient/necessary to use a non-optimal decision instead of the optimal one. In these cases it is important to quantify the additional loss we incur and evaluate whether to use the non-optimal decision or not. In this article we study the predictive probability distribution of a relative measure of the additional loss and its use to define sample size determination criteria in a general testing set-up.



SICI: 1618-2510(2021)30:2<689:OTPPOA>2.0.ZU;2-I

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