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- J. Aitchison
- University of Hong Kong
書誌事項
- 公開日
- 1982-01-01
- 権利情報
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- https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model
- DOI
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- 10.1111/j.2517-6161.1982.tb01195.x
- 公開者
- Oxford University Press (OUP)
この論文をさがす
説明
<jats:title>Summary</jats:title> <jats:p>The simplex plays an important role as sample space in many practical situations where compositional data, in the form of proportions of some whole, require interpretation. It is argued that the statistical analysis of such data has proved difficult because of a lack both of concepts of independence and of rich enough parametric classes of distributions in the simplex. A variety of independence hypotheses are introduced and interrelated, and new classes of transformed-normal distributions in the simplex are provided as models within which the independence hypotheses can be tested through standard theory of parametric hypothesis testing. The new concepts and statistical methodology are illustrated by a number of applications.</jats:p>
収録刊行物
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- Journal of the Royal Statistical Society Series B: Statistical Methodology
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Journal of the Royal Statistical Society Series B: Statistical Methodology 44 (2), 139-160, 1982-01-01
Oxford University Press (OUP)
