Author: Livio Fenga
Title: Forecasting the CoViD19 Diffusion in Italy and the Related Occupancy of Intensive Care Units Document date: 2020_4_1
ID: 4ffbqpkk_62
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https: //doi.org/10.1101/2020.03.30.20047894 doi: medRxiv preprint 5.1. The adopted models The stochastic model structures identified for both V t and U t are almost always of the type ARMA (1,0), with the exception of Campania (ARMA(0,1), for both the variables V t and U t )) and Emilia Romagna, for which the best model for the variable U t is of the type ARMA(1,1). Th.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https: //doi.org/10.1101/2020.03.30.20047894 doi: medRxiv preprint 5.1. The adopted models The stochastic model structures identified for both V t and U t are almost always of the type ARMA (1,0), with the exception of Campania (ARMA(0,1), for both the variables V t and U t )) and Emilia Romagna, for which the best model for the variable U t is of the type ARMA(1,1). The most suitable prefilter (Eqn. 2) has been always of the type d=3 difference of the natural log of the variables of interest.
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