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Více informací o knize Statistical Theory of Shape

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Anotace knihy

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. TOC:Contents: Introduction.- Shape Spaces.- Some Tools from Probability Theory.- Distributions of Random Shapes.- Shape Statistics and Maximal Invariance.- Some Examples of Shape Analysis.

Parametry knihy

Zařazení knihy Knihy v angličtině Mathematics & science Mathematics Geometry

• Plný název: Statistical Theory of Shape
• Autor: Christopher G. Small
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 230
• EAN: 9780387947297
• ISBN: 0387947299
• ID: 01384139
• Nakladatelství: Springer-Verlag New York Inc.
• Hmotnost: 524 g
• Rozměry: 242 × 159 × 18 mm
• Datum vydání: 09. August 1996

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