Advertisement

Permutation Tests in Shape Analysis

  • LUIGI SALMASO
  • Chiara Brombin

Part of the SpringerBriefs in Statistics book series (BRIEFSSTATIST, volume 15)

Table of contents

About this book

Introduction

Statistical shape analysis is a geometrical analysis from a set of shapes in which statistics are measured to describe geometrical properties from similar shapes or different groups, for instance, the difference between male and female Gorilla skull shapes, normal and pathological bone shapes, etc. Some of the important aspects of shape analysis are to obtain a measure of distance between shapes, to estimate average shapes from a (possibly random) sample and to estimate shape variability in a sample[1]. One of the main methods used is principal component analysis. Specific applications of shape analysis may be found in archaeology, architecture, biology, geography, geology, agriculture, genetics, medical imaging, security applications such as face recognition, entertainment industry (movies, games), computer-aided design and manufacturing. This is a proposal for a new Brief on statistical shape analysis and the various new parametric and non-parametric methods utilized to facilitate shape analysis. ​ ​

Keywords

non-parametric statistics permutation tests shape analysis

Authors and affiliations

  • LUIGI SALMASO
    • 1
  • Chiara Brombin
    • 2
  1. 1.Department of Management and EngineeringUniversity of Padova,Vicenza, ItalyItaly
  2. 2.University of San Raffaele CUSSB, Vita-SaluteMilanItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-8163-8
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-8162-1
  • Online ISBN 978-1-4614-8163-8
  • Series Print ISSN 2191-544X
  • Series Online ISSN 2191-5458
  • Buy this book on publisher's site
Industry Sectors
Pharma
Biotechnology
Finance, Business & Banking
Oil, Gas & Geosciences