Modern Directional Statistics (Chapman & Hall/CRC Interdisciplinary Statistics) - Softcover

Buch 30 von 45: Chapman & Hall/CRC Interdisciplinary Statistics

Ley, Christophe

 
9780367573010: Modern Directional Statistics (Chapman & Hall/CRC Interdisciplinary Statistics)

Inhaltsangabe

This book provides a detailed account on some of the newest methods for dealing with directional data. Directional data naturally arises in diverse domains such as earth sciences (in particular geology), meteorology, astronomy, studies of animal behavior, image analysis, neurosciences, medicine, machine learning, bioinformatics, and cosmology. <

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Über die Autorin bzw. den Autor

Christophe Ley is professor of mathematical statistics at Ghent University. His research interests include semi-parametrically efficient inference, flexible modeling, directional statistics and the study of asymptotic approximations via Stein's Method. His achievements include the Marie-Jeanne Laurent-Duhamel prize of the Société Française de Statistique and an elected membership at the International Statistical Institute. He is associate editor for the journals Computational Statistics & Data Analysis and Econometrics and Statistics.

Thomas Verdebout is professor of mathematical statistics at Université libre de Bruxelles (ULB). His main research interests are semi-parametric statistics, high- dimensional statistics, directional statistics and rank-based procedures. He has won an annual prize of the Belgian Academy of Sciences and is an elected member of the International Statistical Institute. He is associate editor for the journals Statistics and Probability Letters and Journal of Multivariate Analysis.

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9781498706643: Modern Directional Statistics (Interdisciplinary Statistics)

Vorgestellte Ausgabe

ISBN 10:  1498706649 ISBN 13:  9781498706643
Verlag: Chapman and Hall/CRC, 2017
Hardcover