Practical use of modern likelihood asymptotics is still limited by the lack of flexible and easy to use computational tools. The aim of the paper is to illustrate the potential of these methods in the framework of nonlinear regression and give insight into how they can be implemented into S-Plus.
Higher-order likelihood-based inference in nonlinear regression / R., Bellio; Brazzale, Alessandra Rosalba. - STAMPA. - -:(1999), pp. 440-443. (Intervento presentato al convegno 14th International Workshop on Statistical Modelling tenutosi a Graz nel 19-23 luglio 1999).
Higher-order likelihood-based inference in nonlinear regression
BRAZZALE, Alessandra Rosalba
1999
Abstract
Practical use of modern likelihood asymptotics is still limited by the lack of flexible and easy to use computational tools. The aim of the paper is to illustrate the potential of these methods in the framework of nonlinear regression and give insight into how they can be implemented into S-Plus.
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris
