rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Permutation Tests in Shape Analysis
  name:
    name part: SALMASO, LUIGI.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Brombin, Chiara.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 95 p. 19 illus., 16 illus. in color. online resource.
  abstract: 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. .
  note: by LUIGI SALMASO, Chiara Brombin.
  subject:
    topic: Statistics
  subject:
    topic: Statistics
  subject:
    topic: Statistics, general
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Statistics, 15
  identifier: 9781461481638
  identifier: http://dx.doi.org/10.1007/978-1-4614-8163-8
  record info:
    record creation date: 130906
    record change date: 20151204165934.0
    record identifier: 978-1-4614-8163-8