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Combinatorial Inference in Geometric Data Analysis (Chapman & Hall/CRC Computer Science & Data Analysis)
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: California Books, Miami, FL, U.S.A.
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Combinatorial Inference in Geometric Data Analysis 1st Edition
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Majestic Books, Hounslow, Regno Unito
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Combinatorial Inference in Geometric Data Analysis 1st Edition
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Books Puddle, New York, NY, U.S.A.
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Combinatorial Inference in Geometric Data Analysis (Chapman & Hall/CRC Computer Science & Data Analysis)
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Ria Christie Collections, Uxbridge, Regno Unito
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Combinatorial Inference in Geometric Data Analysis 1st Edition
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Biblios, Frankfurt am main, HESSE, Germania
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Combinatorial Inference in Geometric Data Analysis (Chapman & Hall/CRC Computer Science & Data Analysis)
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Chiron Media, Wallingford, Regno Unito
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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisEUR 52,47
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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Books Puddle, New York, NY, U.S.A.
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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Majestic Books, Hounslow, Regno Unito
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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Biblios, Frankfurt am main, HESSE, Germania
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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPrices, Columbia, MD, U.S.A.
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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisEUR 53,70
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Aggiungi al carrelloTaschenbuch. Condizione: 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
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPrices, Columbia, MD, U.S.A.
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Combinatorial Inference in Geometric Data Analysis (Hardcover)
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisLingua: Inglese
Editore: Taylor & Francis Inc, Portland, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
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Hardcover. Condizione: 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
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Combinatorial Inference in Geometric Data Analysis (Chapman & Hall/CRC Computer Science & Data Analysis)
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Mispah books, Redhill, SURRE, Regno Unito
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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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Combinatorial Inference in Geometric Data Analysis (Chapman & Hall/CRC Computer Science & Data Analysis)
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: California Books, Miami, FL, U.S.A.
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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: GreatBookPricesUK, Woodford Green, Regno Unito
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Combinatorial Inference in Geometric Data Analysis (Chapman & Hall/CRC Computer Science & Data Analysis)
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Ria Christie Collections, Uxbridge, Regno Unito
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Le Roux, B: Combinatorial Inference in Geometric Data Analys
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisEUR 124,48
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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 256 pages. 9.50x6.50x0.75 inches. In Stock.
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Combinatorial Inference in Geometric Data Analysis (Hardcover)
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisLingua: Inglese
Editore: Taylor & Francis Inc, Portland, 2019
ISBN 10: 1498781616 ISBN 13: 9781498781619
Da: AussieBookSeller, Truganina, VIC, Australia
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Aggiungi al carrelloHardcover. Condizione: 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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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: PBShop.store US, Wood Dale, IL, U.S.A.
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EUR 73,76
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Aggiungi al carrelloPAP. Condizione: 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
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: PBShop.store UK, Fairford, GLOS, Regno Unito
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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisLingua: Inglese
Editore: Chapman And Hall/CRC Jun 2021, 2021
ISBN 10: 1032093730 ISBN 13: 9781032093734
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
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Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisEUR 62,40
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
-
Combinatorial Inference in Geometric Data Analysis
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: PBShop.store US, Wood Dale, IL, U.S.A.
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Aggiungi al carrelloHRD. Condizione: 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
Libro 22 di 23: Chapman & Hall/CRC Computer Science & Data AnalysisDa: PBShop.store UK, Fairford, GLOS, Regno Unito
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EUR 170,72
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
