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: Doubly Classified Model with R
  name:
    name part: Tan, Teck Kiang.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: si
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIX, 264 p. 67 illus., 28 illus. in color. online resource.
  abstract: This book provides practical applications of doubly classified models by using R syntax to generate the models. It also presents these models in symbolic tables so as to cater to those who are not mathematically inclined, while numerous examples throughout the book illustrate the concepts and their applications. For those who are not aware of this modeling approach, it serves as a good starting point to acquire a basic understanding of doubly classified models. It is also a valuable resource for academics, postgraduate students, undergraduates, data analysts and researchers who are interested in examining square contingency tables.
  table of contents: Introduction to R -- Basic Concepts -- Examining Symmetry of Doubly Classified Table -- Symmetry and Asymmetry Models -- Point-Symmetry Models -- Non-independence Models -- Symmetry + Independence Models -- Modeling Strategy -- Creating Square models -- Summary. .
  note: by Teck Kiang Tan.
  subject:
    topic: Computer science
  subject:
    topic: Mathematical statistics
  subject:
    topic: Statistics
  subject:
    topic: Computer Science
  subject:
    topic: Probability and Statistics in Computer Science
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Statistics and Computing/Statistics Programs
  classification: QA276-280
  classification: 005.55
  related item:
    title info:
      title: Springer eBooks
  identifier: 9789811069956
  identifier: http://dx.doi.org/10.1007/978-981-10-6995-6
  record info:
    record creation date: 171111
    record change date: 20171111142424.0
    record identifier: 978-981-10-6995-6