Items related to The Statistical Analysis of Compositional Data (Monographs...
The Statistical Analysis of Compositional Data (Monographs on Statistics and Applied Probability) - Softcover
Synopsis
As long ago as 1897 Karl Pearson, in a now classic paper on spurious correlation, first pointed out dangers that may befall the analyst who attempts to interpret correlations between ratios whose numerators and denominators contain common parts. He thus implied that the analysis of compositional data, with its concentration on relation ships between proportions of some whole, is likely to be fraught with difficulty. History has proved him correct: over the succeeding years and indeed right up to the present day, there has been no other form of data analysis where more confusion has reigned and where more improper and inadequate statistical methods have been applied. The special and intrinsic feature of compositional data is that the proportions of a composition are naturally subject to a unit-sum constraint. For other forms of constrained data, in particular for directional data where there is a unit-length constraint on each direction vector, scientist and statistician alike have readily appre ciated that new statistical methods, appropriate to the special nature of the data, are required; and there now exists an extensive literature on the successful statistical analysis of directional data. It is paradox ical that for compositional data, subject to an apparently simpler constraint, such an appreciation and development have been slower to emerge. In applications the unit-sum constraint has been widely ignored or wished away and inappropriate 'standard' statistical methods, devised for and successfully applied to unconstrained data, have been used with disastrous consequences.
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Review
"All along Aitchison motivates his mathematics by showing how it can answer the real questions of scientists. -- The Times Higher Education Supplement
"This splendid monograph develops sensible models for distributions on simplexes" -- Journal of the Royal Statistical Society.
The definitive work in its area and is likely to be the standard reference for decades to come" -- Mathematical Reviews
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- PublisherSpringer
- ISBN 10 940108324X
- ISBN 13 9789401083249
- BindingPaperback
- LanguageEnglish
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