Erratum to: Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory

Erratum to: Artificial neural networks and their potentialities in analyzing budget health data:... Qual Quant (2017) 51:1277–1278 DOI 10.1007/s11135-016-0359-5 ERRATUM Erratum to: Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory 1,2 1 • • Paolo Massimo Buscema Guido Maurelli 3 3 3,4 • • • Francesco Saverio Mennini Lara Gitto Simone Russo 5 5 5 • • Matteo Ruggeri Silvia Coretti Americo Cicchetti Published online: 28 June 2016 Springer Science+Business Media Dordrecht 2016 Erratum to: Qual Quant DOI 10.1007/s11135-016-0329-y In the original publication of the article, the Italian quotes starts from ‘‘La tecnica’’ and ends with ‘‘della conoscenza’’ under the heading ‘‘Methods’’ which has been included by mistake should be removed and replaced with the following English translation ‘‘The auto-encoder The online version of the original article can be found under doi:10.1007/s11135-016-0329-y. & Paolo Massimo Buscema m.buscema@semeion.it Guido Maurelli g.maurelli@semeion.it Francesco Saverio Mennini f.mennini@uniroma2.it Lara Gitto gitto@ceis.uniroma2.it Simone Russo simone.russo82@hotmail.it Matteo Ruggeri mruggeri@rm.unicatt.it Silvia Coretti silvia.coretti@rm.unicatt.it Americo Cicchetti acicchetti@rm.unicatt.it SEMEION Research Centre of Sciences of Communication, Rome, Italy Department of Mathematical and Statistical Sciences, University of Colorado, Denver, CO, USA CEIS - Economic Evaluation and HTA (EEHTA), Faculty of Economics, University of Rome Tor Vergata, Rome, Italy Department of Statistics, University of http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Erratum to: Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory

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Publisher
Springer Netherlands
Copyright
Copyright © 2016 by Springer Science+Business Media Dordrecht
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-016-0359-5
Publisher site
See Article on Publisher Site

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