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dc.contributor.authorAlberti, Gianmarco-
dc.date.accessioned2022-03-09T15:07:34Z-
dc.date.available2022-03-09T15:07:34Z-
dc.date.issued2018-
dc.identifier.citationAlberti, G. (2018). Correspondence analysis. In S. L. López Varela (Ed.), The Encyclopedia of Archaeological Sciences (pp. 1-3). Wiley Blackwellen_GB
dc.identifier.isbn9780470674611-
dc.identifier.urihttps://www.um.edu.mt/library/oar/handle/123456789/90986-
dc.description.abstractCorrespondence analysis (CA) is an exploratory statistical technique that allows us to represent graphically the dependence between rows and columns of contingency tables (also called “cross-tabulations”) in order to discover hidden patterns of association and to facilitate data interpretation. While the foundations of this technique are in the work of K. Pearson and R. A. Fisher, namely in their analysis of contingency tables (see hypothesis testing), the origin of CA can be traced back to the French linguist Jean-Paul Benzécri, who in 1960 developed it in its current form and who can therefore be considered its father. [excerpt]en_GB
dc.language.isoenen_GB
dc.publisherWiley Blackwellen_GB
dc.rightsinfo:eu-repo/semantics/closedAccessen_GB
dc.subjectCorrespondence analysis (Statistics)en_GB
dc.subjectArchaeology -- Encyclopediasen_GB
dc.subjectAntiquities -- Encyclopediasen_GB
dc.subjectExcavations (Archaeology) -- Encyclopediasen_GB
dc.titleCorrespondence analysisen_GB
dc.title.alternativeThe Encyclopedia of Archaeological Sciencesen_GB
dc.typebookParten_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.en_GB
dc.description.reviewedpeer-revieweden_GB
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