Robust inference for nonlinear regression models from the Tsallis score: application to Covid-19 contagion in Italy

Autor:	Girardi, Paolo, Greco, Luca, Mameli, Valentina, Musio, Monica, Racugno, Walter, Ruli, Erlis, Ventura, Laura
Rok vydání:	2020
Předmět:	Statistics - Applications Statistics - Methodology
Druh dokumentu:	Working Paper
Popis:	We discuss an approach for fitting robust nonlinear regression models, which can be employed to model and predict the contagion dynamics of the Covid-19 in Italy. The focus is on the analysis of epidemic data using robust dose-response curves, but the functionality is applicable to arbitrary nonlinear regression models. Comment: 15 pages, 6 figures, submitted
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2004.03187 Zobrazit plný text záznamu View this record from Arxiv