Geometry Driven Statistics - Couverture rigide

Couverture rigide

ISBN 10 : 1118866576 ISBN 13 : 9781118866573

Editeur : Wiley, 2015

Synopsis

Geometry Driven Statistics, Ian L. Dryden, John T. Kent, 9781118866573, John Wiley, 2015, Hardcover

A propos du livre

Quatrième de couverture :

Geometry Driven Statistics

Editors:

Ian L. Dryden, University of Nottingham, UK

John T. Kent, University of Leeds, UK

 

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.

Présentation de l'éditeur :

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.

À propos de cette édition

• Éditeur: Wiley
• Date d'édition: 2015
• ISBN 10: 1118866576
• ISBN 13: 9781118866573
• Reliure: Relié
• Nombre de pages: 432
• Éditeur: Dryden Ian L, Kent John T