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Geometry driven statistics / edited by Ian L. Dryden, University of Nottingham, UK, John T. Kent, University of Leeds, UK

Contributor(s): Series: Wiley series in probability and statisticsUnited Kingdom : Wiley, 2015Description: xviii, 394 pages : illustrations (black and white) ; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781118866573
Subject(s): DDC classification:
  • 519.5 .G345 2015
Summary: 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.
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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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