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The Statistical Theory of Shape (Springer Series in Statistics) by Christopher G. Small is a nonfiction available to read on EtoBox.

What is The Statistical Theory of Shape (Springer Series in Statistics) about?

In general terms, the shape of an object, data set, or image can be de fined as the total of all information that is invariant under translations, rotations, and isotropic rescalings. Thus two objects can be said to have the same shape if they are similar in the sense of Euclidean geometry. For example, all equilateral triangles have the same shape, and so do all cubes. In applications, bodies rarely have exactly the same shape within measure ment error. In such cases the variation in shape can often be the subject of statistical analysis. The last decade has seen a considerable growth in interest in the statis tical theory of shape. This has been the result of a synthesis of a number of different areas and a recognition that there is considerable common ground among these areas in their study of shape variation. Despite this synthesis of disciplines, there are several different schools of statistical shape analysis. One of these, the Kendall school of shape analysis, uses a variety of mathe matical tools from differential geometry and probability, and is the subject of this book. The book does not assume a particularly strong background by the reader in these subjects, and so a br

Who reads The Statistical Theory of Shape (Springer Series in Statistics)?

Author

Christopher G. Small

Publisher

Springer New York

Published

1996

Language

EN

ISBN

9781461240327

Category

nonfiction

Subjects

Mathematics, Computer Science, Stem