Archetypal analysis is a statistical method aiming at synthesizing a set of multivariate observations through few points not necessarily observed. On the other hand, coding data as interval values allows to include variability and variation in the data itself. This work proposes the use of archetypal analysis for intervalcoded sensory data to synthesize profiling data taking into account assessor panel variability. © Springer-Verlag Berlin Heidelberg 2011.

On the use of archetypes and interval coding in sensory analysis / D’Esposito, M. R.; Palumbo, Francesco; Ragozini, Giancarlo. - (2011), pp. 353-361. (Intervento presentato al convegno 1st Joint Meeting of the Societe Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society, SFC-CLADAG 2008 tenutosi a Caserta, ita nel 2008) [10.1007/978-3-642-13312-1_37].

On the use of archetypes and interval coding in sensory analysis

PALUMBO, FRANCESCO;RAGOZINI, GIANCARLO
2011

Abstract

Archetypal analysis is a statistical method aiming at synthesizing a set of multivariate observations through few points not necessarily observed. On the other hand, coding data as interval values allows to include variability and variation in the data itself. This work proposes the use of archetypal analysis for intervalcoded sensory data to synthesize profiling data taking into account assessor panel variability. © Springer-Verlag Berlin Heidelberg 2011.
2011
9783642133114
On the use of archetypes and interval coding in sensory analysis / D’Esposito, M. R.; Palumbo, Francesco; Ragozini, Giancarlo. - (2011), pp. 353-361. (Intervento presentato al convegno 1st Joint Meeting of the Societe Francophone de Classification and the Classification and Data Analysis Group of the Italian Statistical Society, SFC-CLADAG 2008 tenutosi a Caserta, ita nel 2008) [10.1007/978-3-642-13312-1_37].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/486890
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact