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STATISTICAL ANALYSIS OF CHEMICAL COMPOSITIONAL DATA AND THE COMPARISON OF ANALYSES
Author(s) -
BAXTER M. J.
Publication year - 1992
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.1475-4754.1992.tb00497.x
Subject(s) - compositional data , feature (linguistics) , computer science , constant (computer programming) , statistical analysis , matrix (chemical analysis) , data mining , data science , statistics , mathematics , machine learning , chemistry , philosophy , linguistics , programming language , chromatography
Recent statistical work on approaches to analysing compositional data ‐ where variables sum to a constant for each row of a data matrix ‐ may encounter difficulties when applied to data of the kind typically arising in scientific archaeology. The reason is that results obtained may be unsatisfactory from a substantive viewpoint for identifiable technical reasons. This paper explores and illustrates some possible resolutions of the problem. A feature of the approach used is to analyse subsets of the variables on separate scales. A synthesis of the results obtained from separate analyses is essential and the use of multiple correspondence analysis for this purpose is illustrated.