The Statistical Theory of Shape

By:

Christopher G Small

Format:

Hardback

Series:

Springer Series in Statistics

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Description

The shape of a data set can be defined as the total of all information under translations, rotations, and scale changes to the data. Over the last decade, shape analysis has emerged as a promising new field of statistics with applications to morphometrics, pattern recognition, archaeology, and other disciplines. This book provides a comprehensive coverage of the statistical theory of shape. Both the Kendall and the Bookstein schools of shape analysis are described. It is written for graduate students and researchers in statistics who have some knowledge of multivariate models. An understanding of the basic concepts of differential manifolds is also helpful.

Release date Australia

August 9th, 1996

Author

Christopher G Small

Audiences

Postgraduate, Research & Scholarly
Professional & Vocational

Illustrations

X, 230 p.

Pages

230

Series

Springer Series in Statistics

Dimensions

156x234x14

ISBN-13

9780387947297

Product ID

5809149

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