| dcterms.contributor.author | Primerano, Ilaria | |
| dc.date.accessioned | 2016-08-08T08:55:16Z | |
| dc.date.available | 2016-08-08T08:55:16Z | |
| dcterms.date.issued | 2016-03-21 | |
| dcterms.identifier.uri | http://hdl.handle.net/10556/2179 | |
| dc.description | 2013 - 2014 | it_IT |
| dc.description.abstract | Nowadays, complex phenomena need to bee analyzed through appropriate statistical methods that allow considering the knowledge hidden behind the classical data structure... [edited by author] | it_IT |
| dc.language.iso | en | it_IT |
| dcterms.publisher.alternative | Universita degli studi di Salerno | it_IT |
| dcterms.subject | Complex data | it_IT |
| dcterms.subject | Multidimensional data analysis | it_IT |
| dcterms.subject | Comparing socio-economic entities | it_IT |
| dcterms.title | A symbolic data analysis approach to explore the relation between governance and performance in the Italian industrial districs | it_IT |
| dcterms.type | Doctoral Thesis | it_IT |
| dc.subject.miur | SECS S/01 STATISTICA | it_IT |
| dc.contributor.coordinatore | Amendola, Alessandra | it_IT |
| dc.description.ciclo | XIII n.s. | it_IT |
| dc.contributor.tutor | Amendola, Alessandra | it_IT |
| dc.contributor.cotutor | Giordano, Giuseppe | it_IT |
