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

Author

Listed:
  • Paolo Massimo Buscema

    (SEMEION Research Centre of Sciences of Communication
    University of Colorado)

  • Guido Maurelli

    (SEMEION Research Centre of Sciences of Communication)

  • Francesco Saverio Mennini

    (University of Rome Tor Vergata)

  • Lara Gitto

    (University of Rome Tor Vergata)

  • Simone Russo

    (University of Rome Tor Vergata
    University of Rome La Sapienza)

  • Matteo Ruggeri

    (Università Cattolica del Sacro Cuore)

  • Silvia Coretti

    (Università Cattolica del Sacro Cuore)

  • Americo Cicchetti

    (Università Cattolica del Sacro Cuore)

Abstract

No abstract is available for this item.

Suggested Citation

  • Paolo Massimo Buscema & Guido Maurelli & Francesco Saverio Mennini & Lara Gitto & Simone Russo & Matteo Ruggeri & Silvia Coretti & Americo Cicchetti, 2017. "Erratum to: Artificial neural networks and their potentialities in analyzing budget health data: an application for Italy of what-if theory," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(3), pages 1277-1278, May.
  • Handle: RePEc:spr:qualqt:v:51:y:2017:i:3:d:10.1007_s11135-016-0359-5
    DOI: 10.1007/s11135-016-0359-5
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