Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications

This book considers specific inferential issues arising from the analysis of dynamic shapes with the attempt to solve the problems at hand using probability models and nonparametric tests. The models are simple to understand and interpret and provide a useful tool to describe the global dynamics of...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Brombin, Chiara (Autor), Salmaso, Luigi (Autor), Fontanella, Lara (Autor), Ippoliti, Luigi (Autor), Fusilli, Caterina (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:SpringerBriefs in Statistics,
Temas:
Statistics .
Computer science-Mathematics.
Mathematical statistics.
Mathematics-Data processing.
Statistical Theory and Methods.
Probability and Statistics in Computer Science.
Computational Mathematics and Numerical Analysis.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Part I Offset Normal Distribution for Dynamic Shapes
  • Basic Concepts and Definitions
  • Shape Inference and the Offset-Normal Distribution
  • Dynamic Shape Analysis Through the Offset-Normal Distribution
  • Part II Combination-Based Permutation Tests for Shape Analysis
  • Parametric and Non-Parametric Testing of Mean Shapes
  • Applications of NPC Methodology
  • Shape Inference and the Offset-Normal Distribution. .

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