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: Generalized linear models for bounded and limited quantitative variables
  name:
    name part: Smithson, Michael
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Shou, Yiyun
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: cau
    date issued: 2020
    copyright date: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xiii, 117 pages : illustrations ; 22 cm.
  abstract: This book introduces researchers and students to the concepts and generalized linear models for analyzing quantitative random variables that have one or more bounds. Examples of bounded variables include the percentage of a population eligible to vote (bounded from 0 to 100), or reaction time in milliseconds (bounded below by 0). The human sciences deal in many variables that are bounded. Ignoring bounds can result in misestimation and improper statistical inference. Michael Smithson and Yiyun Shou's book brings together material on the analysis of limited and bounded variables that is scattered across the literature in several disciplines, and presents it in a style that is both more accessible and up-to-date. The authors provide worked examples in each chapter using real datasets from a variety of disciplines. The software used for the examples include R, SAS and Stata.
  note: Michael Smithson, Yiyun Shou.
  note: Includes bibliographical references (pages 105-109) and index.
  subject:
    topic: Linear models (Statistics)
  subject:
    topic: Random variables
  subject:
    topic: Functions of bounded variation
  subject:
    topic: Quantitative research
  classification: QA279 .S644 2020
  classification: 519.5
  related item:
    title info:
      title: Quantitative applications in the social sciences ; no. 181
  identifier: 9781544334530
  identifier: 1544334532
  identifier: 9781544334516
  identifier: 9781544334523
  identifier: 9781544334547
  identifier: 2019028200
  record info:
    record content source: DLC
    record creation date: 191022
    record change date: 20211018102944.0
    record identifier: in00004432657