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Combinatorial Inference in Geometric Data Analysis (Chapman & Hall/CRC Computer Science & Data Analysis)
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Combinatorial Inference in Geometric Data Analysis (Chapman & Hall/CRC Computer Science & Data Analysis)
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Routledge 2021-06-30, 2021
ISBN 10: 1032093730 ISBN 13: 9781032093734
£ 56.01
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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032093730 ISBN 13: 9781032093734
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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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Condition: New.
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Combinatorial Inference in Geometric Data Analysis (Hardcover)
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Taylor & Francis Inc, Portland, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
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.
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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Condition: As New. Unread book in perfect condition.
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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Combinatorial Inference in Geometric Data Analysis (Chapman & Hall/CRC Computer Science & Data Analysis)
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Hardcover. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Taylor & Francis Group, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Condition: New.
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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Taylor & Francis Group, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Condition: New.
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Combinatorial Inference in Geometric Data Analysis (Chapman & Hall/CRC Computer Science & Data Analysis)
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Chapman and Hall/CRC, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 141.88
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Taylor & Francis Group, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Condition: New.
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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Taylor & Francis Inc, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 147.88
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days.
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Hardcover. Condition: Brand New. 256 pages. 9.50x6.50x0.75 inches. In Stock.
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Combinatorial Inference in Geometric Data Analysis (Hardcover)
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Taylor & Francis Inc, Portland, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
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£ 59.09
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Chapman And Hall/CRC Jun 2021, 2021
ISBN 10: 1032093730 ISBN 13: 9781032093734
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 pointsPresents 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 self-containedThis 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. 270 pp. Englisch.
-
Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Chapman And Hall/CRC, 2021
ISBN 10: 1032093730 ISBN 13: 9781032093734
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 pointsPresents 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 self-containedThis 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.
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 144.93
£ 5.02 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Hardcover. Condition: Brand New. 256 pages. 9.50x6.50x0.75 inches. In Stock. This item is printed on demand.
-
Combinatorial Inference in Geometric Data Analysis
Book 22 of 23: Chapman & Hall/CRC Computer Science & Data AnalysisLanguage: English
Published by Chapman And Hall/CRC, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
