Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications

• Κύριοι συγγραφείς: Brombin, Chiara (Συγγραφέας), Salmaso, Luigi (Συγγραφέας), Fontanella, Lara (Συγγραφέας), Ippoliti, Luigi (Συγγραφέας), Fusilli, Caterina (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: SpringerBriefs in Statistics,
• Θέματα: Statistics.; Mathematical statistics.; Computer mathematics.; Statistical Theory and Methods.; Probability and Statistics in Computer Science.; Computational Mathematics and Numerical Analysis.

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...

Πίνακας περιεχομένων:

• 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. .