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Dryden, Ian L.

Geometry Driven Statistics

Dryden, Ian L. - Geometry Driven Statistics, ebook

125,60€

Ebook, ePUB with Adobe DRM
ISBN: 9781118866603
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A timely collection of advanced, original material in the area of statistical methodology motivated by geometric problems, dedicated to the influential work of Kanti V. Mardia

This volume celebrates Kanti V. Mardia's long and influential career in statistics. A common theme unifying much of Mardia’s work is the importance of geometry in statistics, and to highlight the areas emphasized in his research this book brings together 16 contributions from high-profile researchers in the field.

Geometry Driven Statistics covers a wide range of application areas including directional data, shape analysis, spatial data, climate science, fingerprints, image analysis, computer vision and bioinformatics. The book will appeal to statisticians and others with an interest in data motivated by geometric considerations.

Summarizing the state of the art, examining some new developments and presenting a vision for the future, Geometry Driven Statistics will enable the reader to broaden knowledge of important research areas in statistics and gain a new appreciation of the work and influence of Kanti V. Mardia.

Keywords:

directional statistics, shape analysis, multivariate analysis, image analysis, spatial analysis, spatial-temporal analysis, interdisciplinary statistics, bioinformatics, computational statistics, Bayesian statistics

, Applied Probability & Statistics
Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2015
Language
en
Edition
1
Series
Wiley Series in Probability and Statistics
Page amount
432 pages
Category
Natural Sciences
Format
Ebook
eISBN (ePUB)
9781118866603
Printed ISBN
9781118866573

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