Compositional data analysis theory (5 Ergebnisse)
- Hardcover
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Zustand: New. In English.
- Hardcover
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Zustand: New. It is difficult to imagine that the statistical analysis of compositional data has been a major issue of concern for more than 100 years. It is even more difficult to realize that so many statisticians and users of statistics are unaware of the particular problems affecting compositional data, as well as their solutions. Editor(s): Pawlowsky-Glahn, Vera; Buccianti, Antonella. Num Pages: 400 pages, Illustrations. BIC Classification: PBT. Category: (P) Professional & Vocational. Dimension: 178 x 251 x 25. Weight in Grams: 842. . 2011. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.…
Compositional Data Analysis Theory and Applications
Pawlowsky-Glahn, Vera (Editor)/ Buccianti, Antonella (Editor)
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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EUR 176,33
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Hardcover. Zustand: Brand New. 1st edition. 400 pages. 9.90x7.00x1.00 inches. In Stock.
- Hardcover
Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes KönigreichPhatpocket Limited
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Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…
Compositional Data Analysis in the Geosciences: From Theory to Practice [Geological Society Special Publication, 264]
A. Buccianti; G. Mateu-Figueras; V. Pawlowsky-Glahn; Editors
- Hardcover
Anbieter: Joseph Burridge Books, Dagenham, Vereinigtes KönigreichJoseph Burridge Books
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Hardcover. Zustand: New. Since Karl Pearson wrote his paper on spurious correlation in 1897, a lot has been said about the statistical analysis of compositional data, mainly by geologists such as Felix Chayes. The solution appeared in the 1980s, when John Aitchison proposed to use logratios. Since then, the approach has seen a great expansion, mainly building on the idea of the 'natural geometry' of the sample space. Statistics is expected to give sense to our perception of the natural scale of the data, and this is made possible for compositional data using logratios. This publication will be a milestone in this process.…
