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...
| Main Authors: | , , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2016, 2016
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| Edition: | 1st ed. 2016 |
| Series: | SpringerBriefs in Statistics
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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.