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: Extending the linear model with R
    sub title: generalized linear, mixed effects and nonparametric regression models
  name:
    name part: Faraway, Julian James.
    role:
      role term: creator
  name:
    name part: EBSCOhost
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: flu
    date issued: 2016
    copyright date: 2016
    edition: Second edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Introduction -- Binary response -- Binomial and proportion responses -- Variations on logistic regression -- Count regression -- Contingency tables -- Multinomial data -- Generalized linear models -- Other GLMs -- Random effects -- Repeated measures and longitudinal data -- Bayesian mixed effect models -- Mixed effect models for nonnormal responses -- Nonparametric regression -- Additive models -- Trees -- Neural networks.
  note: Julian J. Faraway, University of Bath, UK.
  note: "A Chapman & Hall book."
  note: Electronic resource.
  note: Includes bibliographical references (pages 385-394) and index.
  subject:
    topic: Analysis of variance
  subject:
    topic: Regression analysis
  subject:
    topic: R (Computer program language)
    topic: Mathematical models
  classification: QA279 .F368 2016
  classification: 519.5/38
  classification: 519.5 FAR
  related item:
    identifier: (DLC) 2015045130
  related item:
    title info:
      title: Texts in statistical science
  identifier: 9781498720984 (electronic bk.)
  identifier: 1498720986 (electronic bk.)
  identifier: 9781498720960
  identifier: 149872096X
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: NhCcYBP
    record creation date: 180608
    record change date: 20260612162023.5
    record identifier: in00004027502