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THOUGHTS ON THE UTILITY OF A BIVARIATE‐SPLITTING APPROACH TO OLMEC CERAMIC DATA INTERPRETATION*
Author(s) -
HANCOCK R. G. V.,
HANCOCK K. E.,
HANCOCK J. K.
Publication year - 2008
Publication title -
archaeometry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.716
H-Index - 67
eISSN - 1475-4754
pISSN - 0003-813X
DOI - 10.1111/j.1475-4754.2007.00353.x
Subject(s) - interpretation (philosophy) , bivariate analysis , data set , set (abstract data type) , bivariate data , multivariate statistics , archaeology , geology , computer science , mathematics , statistics , geography , programming language
A recently resolved debate centred on the interpretation of a major set of INAA data that was based on Olmec ceramics from Mexico. In an attempt to answer questions arising from the debate, this paper discusses the effect of numbers of samples chosen for data interpretation. It also presents interpretations of the ceramic data set based on a bivariate data‐splitting approach and compares the results of this with the multivariate analysis approaches employed by the initial publishers of the data.