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: Multivariate Nonparametric Methods with R
    sub title: An approach based on spatial signs and ranks
  name:
    name part: Oja, Hannu.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2010
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 234 p. online resource.
  abstract: This book offers a new, fairly efficient, and robust alternative to analyzing multivariate data. The analysis of data based on multivariate spatial signs and ranks proceeds very much as does a traditional multivariate analysis relying on the assumption of multivariate normality; the regular L2 norm is just replaced by different L1 norms, observation vectors are replaced by spatial signs and ranks, and so on. A unified methodology starting with the simple one-sample multivariate location problem and proceeding to the general multivariate multiple linear regression case is presented. Companion estimates and tests for scatter matrices are considered as well. The R package MNM is available for computation of the procedures. This monograph provides an up-to-date overview of the theory of multivariate nonparametric methods based on spatial signs and ranks. The classical book by Puri and Sen (1971) uses marginal signs and ranks and different type of L1 norm. The book may serve as a textbook and a general reference for the latest developments in the area. Readers are assumed to have a good knowledge of basic statistical theory as well as matrix theory. Hannu Oja is an academy professor and a professor in biometry in the University of Tampere. He has authored and coauthored numerous research articles in multivariate nonparametrical and robust methods as well as in biostatistics.
  table of contents: Multivariate location and scatter models -- Location and scatter functionals and sample statistics -- Multivariate signs and ranks -- One-sample problem: Hotelling’s T2-test -- One-sample problem: Spatial sign test and spatial median -- One-sample problem: Spatial signed-rank test and Hodges-Lehmann estimate -- One-sample problem: Comparisons of tests and estimates -- One-sample problem: Inference for shape -- Multivariate tests of independence -- Several-sample location problem -- Randomized blocks -- Multivariate linear regression -- Analysis of cluster-correlated data.
  note: by Hannu Oja.
  subject:
    topic: Mathematics
  subject:
    topic: Computer simulation
  subject:
    topic: Biometrics (Biology)
  subject:
    topic: Probabilities
  subject:
    topic: Statistics
  subject:
    topic: Econometrics
  subject:
    topic: Mathematics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Econometrics
  subject:
    topic: Simulation and Modeling
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Biometrics
  subject:
    topic: Statistics for Life Sciences, Medicine, Health Sciences
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Statistics, 199
  identifier: 9781441904683
  identifier: http://dx.doi.org/10.1007/978-1-4419-0468-3
  record info:
    record creation date: 100327
    record change date: 20151204140746.0
    record identifier: 978-1-4419-0468-3