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Symmetry Studies : An Introduction to the Analysis of Structured Data in Applications

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Title: Symmetry Studies : An Introduction to the Analysis of Structured Data in Applications
Description: 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.
Authors: Marlos A. G. Viana
Resource Type: eBook.
Subjects: Probabilities--Data processing, Data structures (Computer science), Symmetry (Mathematics), Statistics--Data processing
Categories: MATHEMATICS / Probability & Statistics / General
Database: eBook Collection (EBSCOhost)
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PubType: eBook
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  Data: Symmetry Studies : An Introduction to the Analysis of Structured Data in Applications
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  Data: 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.
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  Data: <searchLink fieldCode="DE" term="%22Probabilities--Data+processing%22">Probabilities--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Data+structures+%28Computer+science%29%22">Data structures (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Symmetry+%28Mathematics%29%22">Symmetry (Mathematics)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics--Data+processing%22">Statistics--Data processing</searchLink>
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      – Code: 519.5
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Probabilities--Data processing
        Type: general
      – SubjectFull: Data structures (Computer science)
        Type: general
      – SubjectFull: Symmetry (Mathematics)
        Type: general
      – SubjectFull: Statistics--Data processing
        Type: general
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      – TitleFull: Symmetry Studies : An Introduction to the Analysis of Structured Data in Applications
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            NameFull: Marlos A. G. Viana
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            – D: 01
              M: 01
              Type: published
              Y: 2008
            – D: 04
              M: 02
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              Y: 2014
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              Value: 9780521841030
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              Value: 9780511410130
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