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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032111550 ISBN 13: 9781032111551
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032111550 ISBN 13: 9781032111551
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ISBN 10: 1032111550 ISBN 13: 9781032111551
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ISBN 10: 1032111550 ISBN 13: 9781032111551
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Published by Springer International Publishing, 2022
ISBN 10: 3030969312 ISBN 13: 9783030969318
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This short book elaborates on selected aspects of stochastic-statistical dependencies in multivariate statistics. Each chapter provides a rigorous and self-contained treatment of one specific topic, poses a particular problem within its scope, and concludes by presenting its solution. The presented problems are not only relevant for research in mathematical statistics, but also entertaining, with elegant proofs and appealing solutions. The chapters cover correlation coefficients of bivariate normal distributions, empirical likelihood ratio tests for the population correlation, the rearrangement algorithm, covariances of order statistics, equi-correlation matrices, skew-normal distributions and the weighted bootstrap. This book is primarily intended for early-career researchers in mathematical statistics, but will also be interesting for lecturers in the field. Its goal is to rouse the reader's interest, further their knowledge of the subject and provide them with some useful mathematical techniques.
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032111550 ISBN 13: 9781032111551
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032111550 ISBN 13: 9781032111551
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Published by Springer International Publishing, Springer International Publishing Jan 2019, 2019
ISBN 10: 3030094626 ISBN 13: 9783030094621
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Taschenbuch. Condition: Neu. Neuware -This textbook provides a self-contained presentation of the main concepts and methods of nonparametric statistical testing, with a particular focus on the theoretical foundations of goodness-of-fit tests, rank tests, resampling tests, and projection tests. The substitution principle is employed as a unified approach to the nonparametric test problems discussed. In addition to mathematical theory, it also includes numerous examples and computer implementations. The book is intended for advanced undergraduate, graduate, and postdoc students as well as young researchers. Readers should be familiar with the basic concepts of mathematical statistics typically covered in introductory statistics courses.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 140 pp. Englisch.
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Published by Springer International Publishing, Springer International Publishing, 2019
ISBN 10: 3030094626 ISBN 13: 9783030094621
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This textbook provides a self-contained presentation of the main concepts and methods of nonparametric statistical testing, with a particular focus on the theoretical foundations of goodness-of-fit tests, rank tests, resampling tests, and projection tests. The substitution principle is employed as a unified approach to the nonparametric test problems discussed. In addition to mathematical theory, it also includes numerous examples and computer implementations. The book is intended for advanced undergraduate, graduate, and postdoc students as well as young researchers. Readers should be familiar with the basic concepts of mathematical statistics typically covered in introductory statistics courses.
Language: English
Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032111550 ISBN 13: 9781032111551
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032111550 ISBN 13: 9781032111551
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