id Url Resource template Resource class Title Creator Subject Description Publisher Contributor Date Type Format Identifier Language Relation Coverage Rights Alternative Title Abstract Date Created Date Issued Date Modified Medium Is Replaced By Replaces Requires Is Part Of Has Part Is Referenced By References Spatial Coverage Temporal Coverage Access Rights Bibliographic Citation License Rights Holder Cited by Cites Editor List of editors Status Doi Identifier Isbn Issn Issue Number of pages Number of volumes Pages Short title Uri Volume Name Surname Homepage Funded by Account Member Status Tag Number Current Location Is Shown At Is Shown By Europeana Rights Europeana Type Part of Is supported by Is supplied by Latitude Longitude Lat/long Has format Operating systems In series 10529 https://chloe.cnr.it/s/BiDiAr/item/10529 Academic Article bibo:AcademicArticle Caratterizzazione di gruppi di reperti fittili della laguna di Venezia mediante analisi discriminante applicata ai dati chimici Cavazzoni, Silvia | Lazzarini, Lorenzo | Taroni, Giancarlo 1993 ita https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en CC BY-NC-ND 4.0 Multivariate discriminant analyses were applied to the chemical composition data of four groups of fictile archaeological findings from the lagoon of Venice. Three groups are constituted of ceramic fragments of different manufacture, local and imported Byzantine originating from different epochs, from the Middle Ages to the Renaissance. The fourth group is formed of special Middle Age bricks (“altinelle”). Our aim was to first find the chemical characteristic of each group and, on this basis, to classify other unidentified findings. After having verified the structure of the four groups by means of PCA analysis, three discriminant canonical variates were determined: the relative weights of the original variables represent their discriminant power. The groups were also analysed in pairs and their relative discriminating variables were found. Discriminant function on the basis of the three new variates were calculated for each of the four groups and used for their verification. Finally a quadratic PCA analysis was applied to the first two variates of each group allowing, by means of recognition of their geometric form, to also identify non-linear relationships. https://chloe.cnr.it/s/BiDiAr/item/2002 113-125 http://www.archcalc.cnr.it/journal/id.php?id=53 4 https://www.zotero.org/groups/5293298/bidiar/items/N67IA7NN/item-list