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: Ordinal Data Modeling
  name:
    name part: Johnson, Valen E.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Albert, James H.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 1999
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 258 p. online resource.
  abstract: Ordinal Data Modeling is a comprehensive treatment of ordinal data models from both likelihood and Bayesian perspectives. Written for graduate students and researchers in the statistical and social sciences, this book describes a coherent framework for understanding binary and ordinal regression models, item response models, graded response models, and ROC analyses, and for exposing the close connection between these models. A unique feature of this text is its emphasis on applications. All models developed in the book are motivated by real datasets, and considerable attention is devoted to the description of diagnostic plots and residual analyses. Software and datasets used for all analyses described in the text are available on websites listed in the preface.
  table of contents: Review of Classical and Bayesian Inference -- Review of Bayesian Computation -- Regression Models for Binary Data -- Regression Models for Ordinal Data -- Analyzing Data from Multiple Raters -- Item Response Modeling -- Graded Response Models: A Case Study of Undergraduate Grade Data.
  note: by Valen E. Johnson, James H. Albert.
  subject:
    topic: Statistics
  subject:
    topic: Statistics
  subject:
    topic: Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Statistics for Social Science and Behavorial Sciences
  identifier: 9780387227023
  identifier: http://dx.doi.org/10.1007/b98832
  record info:
    record creation date: 100301
    record change date: 20141217105913.0
    record identifier: 978-0-387-22702-3