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Foreword: Advances in Compositional Data

✍ Scribed by Pawlowsky-Glahn, V.

Publisher: Springer
Year: 2005
Tongue: English
Weight: 26 KB
Volume: 37
Category: Article
ISSN: 0020-5958
DOI: 10.1007/s11004-005-7373-9

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Compositional data often result when raw data are normalized or when data is obtained as proportions of a certain heterogeneous quantity. These conditions are fairly common in geology, economics and biology. The result is, therefore, a vector of such observations per specimen. The usual multivariate