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Published by Peter Lang Group AG, International Academic Publishers, 2000
ISBN 10: 3906758249 ISBN 13: 9783906758244
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Language: English
Published by Berlin, Springer Netherlands., 2005
ISBN 10: 9048100380 ISBN 13: 9789048100385
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XI, 475 p. Softcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.
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Language: English
Published by Peter Lang AG, Internationaler V, 2000
ISBN 10: 3906758249 ISBN 13: 9783906758244
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Published by Dunod, Paris, 1995
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Language: English
Published by Routledge 2021-06-30, 2021
ISBN 10: 1032093730 ISBN 13: 9781032093734
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Couverture souple. Condition: bon. R150179719: 1995. In-8. Broché. Bon état, Couv. fraîche, Dos satisfaisant, Intérieur frais. 232 pages. . . . Classification Dewey : 370-Education.
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Condition: 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.
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Condition: fine. très bon état. Optez pour nos livres d'occasion en très bon état, et soutenez l'insertion sociale et l'écologie en leur offrant une seconde vie,Coins abîmés. 329835-1 - Analyse géométrique des données multidimensionnelles, Le Roux, Brigitte, DUNOD, 2014.
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Language: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032093730 ISBN 13: 9781032093734
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Taschenbuch. Condition: Neu. Combinatorial Inference in Geometric Data Analysis | Brigitte Le Roux (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Chapman and Hall/CRC | EAN 9781032093734 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
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Language: English
Published by Springer Netherlands, 2004
ISBN 10: 1402022352 ISBN 13: 9781402022357
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Published by Springer Netherlands, 2011
ISBN 10: 9048166195 ISBN 13: 9789048166190
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
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Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
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ISBN 10: 1498781616 ISBN 13: 9781498781619
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Hardcover. Condition: new. Hardcover. Geometric Data Analysis designates the approach of Multivariate Statistics that conceptualizes the set of observations as a Euclidean cloud of points. Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework. It focuses particularly on the comparison of a group of observations to a reference population (combinatorial test) or to a reference value of a location parameter (geometric test), and on problems of homogeneity, that is the comparison of several groups for two basic designs. These methods involve the use of combinatorial procedures to build a reference set in which we place the data. The chosen test statistics lead to original extensions, such as the geometric interpretation of the observed level, and the construction of a compatibility region.Features: Defines precisely the object under study in the context of multidimensional procedures, that is clouds of points Presents combinatorial tests and related computations with R and Coheris SPAD software Includes four original case studies to illustrate application of the tests Includes necessary mathematical background to ensure it is selfcontainedThis book is suitable for researchers and students of multivariate statistics, as well as applied researchers of various scientific disciplines. It could be used for a specialized course taught at either master or PhD level. Combinatorial Inference in Geometric Data Analysis gives an overview of multidimensional statistical inference methods applicable to clouds of points that make no assumption on the process of generating data or distributions, and that are not based on random modelling but on permutation procedures recasting in a combinatorial framework. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.