Symmetry Studies - Marlos A. G. Viana

Symmetry Studies

An Introduction to the Analysis of Structured Data in Applications
Buch | Hardcover
248 Seiten
2008
Cambridge University Press (Verlag)
978-0-521-84103-0 (ISBN)
74,80 inkl. MwSt
Combines algebra and statistics to explore the interplay between symmetry-related research questions and their statistical analysis.
Experimental data can often be associated with or indexed by certain symmetrically interesting structures or sets of labels that appear, for example, in the study of short symbolic sequences in molecular biology, in preference or voting data, in (corneal) curvature data, and in studies of the handedness and entropy of symbolic sequences and elementary images. The symmetry studies introduced in this book describe the interplay among symmetry transformations that are characteristic of these sets of labels, their resulting classification, the algebraic decomposition of the data indexed by them, and the statistical analysis of the invariants induced by those decompositions. The overall purpose is to facilitate and guide the statistical study of the structured data from both a descriptive and inferential perspective. The text combines notions of algebra and statistics and develops a systematic methodology to better explore the interplay between symmetry-related research questions and their statistical analysis.

1. Symmetry, classification and the analysis of structured data, 2. Sorting the labels: groups actions and orbits, 3. Connecting symmetries and data: linear representations, 4. Data reduction and inference: the canonical projections and their invariants, 5. Examples and techniques, 6. Symmetry studies of short symbolic sequences, 7. Symmetry studies of curvature data, 8. Symmetry studies of planar chirality.

Reihe/Serie Cambridge Series in Statistical and Probabilistic Mathematics
Zusatzinfo Worked examples or Exercises; 146 Tables, unspecified; 2 Halftones, unspecified; 23 Line drawings, unspecified
Verlagsort Cambridge
Sprache englisch
Maße 180 x 260 mm
Gewicht 610 g
Themenwelt Mathematik / Informatik Mathematik Statistik
ISBN-10 0-521-84103-8 / 0521841038
ISBN-13 978-0-521-84103-0 / 9780521841030
Zustand Neuware
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