Autore
He, Lei

Titolo
Bayesian optimal designs for multi-factor nonlinear models
Periodico
Statistical methods & applications : Journal of the Italian Statistical Society
Anno: 2021 - Volume: 30 - Fascicolo: 1 - Pagina iniziale: 223 - Pagina finale: 233

This article is concerned with the Bayesian optimal design problem for multi-factor nonlinear models. In particular, the Bayesian Ψq-optimality criterion proposed by Dette et al. (Stat Sinica 17:463–480, 2007) is considered. It is shown that the product-type designs are optimal for the additive multi-factor nonlinear models with or without constant term when the proposed sufficient conditions are satisfied. Some examples of application using the exponential growth models with several variables are presented to illustrate optimal designs based on the Bayesian Ψq-optimality criterion considered.



SICI: 1618-2510(2021)30:1<223:BODFMN>2.0.ZU;2-6

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