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In den Warenkorbunknown_binding. Zustand: Very Good. Geostatistical Analysis of Compositional Data (International Association for Mathematical Geosciences: Studies in Mathematical Geosciences) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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In den Warenkorbunknown_binding. Zustand: Very Good. Shipped within 24 hours from our UK warehouse. Clean, undamaged book with no damage to pages and minimal wear to the cover. Spine still tight, in very good condition. Remember if you are not happy, you are covered by our 100% money back guarantee.
Sprache: Englisch
Verlag: Geological Society of London, 2006
ISBN 10: 1862392056 ISBN 13: 9781862392052
Anbieter: Phatpocket Limited, Waltham Abbey, HERTS, Vereinigtes Königreich
EUR 180,40
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In den WarenkorbZustand: 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.
Sprache: Englisch
Verlag: Geological Society of London, 2006
ISBN 10: 1862392056 ISBN 13: 9781862392052
Anbieter: Joseph Burridge Books, Dagenham, Vereinigtes Königreich
EUR 179,19
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In den WarenkorbSince 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.