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:
    non sort: An
    title: R and S-PLUS® Companion to Multivariate Analysis
  name:
    name part: Everitt, Brian Sidney.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2005
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIII, 221 p. online resource.
  abstract: Most data sets collected by researchers are multivariate, and in the majority of cases the variables need to be examined simultaneously to get the most informative results. This requires the use of one or other of the many methods of multivariate analysis, and the use of a suitable software package such as S-PLUS or R. In this book the core multivariate methodology is covered along with some basic theory for each method described. The necessary R and S-PLUS code is given for each analysis in the book, with any differences between the two highlighted. A website with all the datasets and code used in the book can be found at http://biostatistics.iop.kcl.ac.uk/publications/everitt/. Graduate students, and advanced undergraduates on applied statistics courses, especially those in the social sciences, will find this book invaluable in their work, and it will also be useful to researchers outside of statistics who need to deal with the complexities of multivariate data in their work. Brian Everitt is Emeritus Professor of Statistics, King’s College, London.
  table of contents: Multivariate Data and Multivariate Analysis -- Looking at Multivariate Data -- Principal Components Analysis -- Exploratory Factor Analysis -- Multidimensional Scaling and Correspondence Analysis -- Cluster Analysis -- Grouped Multivariate Data: Multivariate Analysis of Variance and Discriminant Function Analysis -- Multiple Regression and Canonical Correlation -- Analysis of Repeated Measures Data.
  note: by Brian Sidney Everitt.
  subject:
    topic: Mathematics
  subject:
    topic: Probabilities
  subject:
    topic: Statistics
  subject:
    topic: Mathematics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Statistics and Computing/Statistics Programs
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Texts in Statistics
  identifier: 9781846281242
  identifier: http://dx.doi.org/10.1007/b138954
  record info:
    record creation date: 100301
    record change date: 20151204142835.0
    record identifier: 978-1-84628-124-2