Geometry driven statistics / edited by Ian L. Dryden, University of Nottingham, UK, John T. Kent, University of Leeds, UK
Series: Wiley series in probability and statisticsUnited Kingdom : Wiley, 2015Description: xviii, 394 pages : illustrations (black and white) ; 26 cmContent type:- text
- unmediated
- volume
- 9781118866573
- 519.5 .G345 2015
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
Print Materials | Graduate School Library Master of Education | 519.5 .G345 2015 (Browse shelf(Opens below)) | Available | 0117911 |
Includes bibliographical references (pages 388-389) and index.
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. It 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." --Provided by publisher.
Adult
Text in English
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