Session 4: Applications to archeometry http://hdl.handle.net/10256/628 2025-08-07T18:52:41Z 2025-08-07T18:52:41Z Compositional data analysis of archaeological glass: problems and possible solutions Baxter, M.J. Beardah, C.C. Cool, H.E.M. Jackson, C.M. http://hdl.handle.net/10256/672 2012-06-28T12:30:36Z 2003-10-16T00:00:00Z Compositional data analysis of archaeological glass: problems and possible solutions Baxter, M.J.; Beardah, C.C.; Cool, H.E.M.; Jackson, C.M. Thió i Fernández de Henestrosa, Santiago; Martín Fernández, Josep Antoni Presentation in CODAWORK'03, session 4: Applications to archeometry 2003-10-16T00:00:00Z Compositional data analysis in archaeometry Baxter, M.J. Beardah, C.C. Cool, H.E.M. Jackson, C.M. http://hdl.handle.net/10256/671 2012-06-28T12:30:36Z 2003-10-16T00:00:00Z Compositional data analysis in archaeometry Baxter, M.J.; Beardah, C.C.; Cool, H.E.M.; Jackson, C.M. Thió i Fernández de Henestrosa, Santiago; Martín Fernández, Josep Antoni We shall call an n × p data matrix fully-compositional if the rows sum to a constant, and sub-compositional if the variables are a subset of a fully-compositional data set1. Such data occur widely in archaeometry, where it is common to determine the chemical composition of ceramic, glass, metal or other artefacts using techniques such as neutron activation analysis (NAA), inductively coupled plasma spectroscopy (ICPS), X-ray fluorescence analysis (XRF) etc. Interest often centres on whether there are distinct chemical groups within the data and whether, for example, these can be associated with different origins or manufacturing technologies 2003-10-16T00:00:00Z