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: Adaptive tests of significance using permutations of residuals with R and SAS
  name:
    name part: O'Gorman, Thomas W.
    role:
      role term: creator
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xvii, 345 pages) : illustrations
  abstract: "This book concerns adaptive tests of significance, which are statistical tests that use the data to modify the test procedures. The modification is used to reduce the influence of outliers. These adaptive tests are attractive because they are often more powerful than traditional tests, and they are also quite practical since they can be performed quickly on a computer using R code or a SAS macro. This comprehensive book on adaptive tests can be used by students and researchers alike who are not familiar with adaptive methods. Chapter 1 provides a gentle introduction to the topic, and Chapter 2 presents a description of the basic tools that are used throughout the book. In Chapters 3, 4, and 5, the basic adaptive testing methods are developed, and Chapters 6 and 7 contain many applications of these tests. Chapters 8 and 9 concern adaptive multivariate tests with multivariate regression models, while the rest of the book concerns adaptive rank tests, adaptive confidence intervals, and adaptive correlations. The adaptive tests described in this book have the following properties: the level of significance is maintained at or near [alpha]; they are more powerful than the traditional test, sometimes much more powerful, if the error distribution is long-tailed or skewed; and there is little power loss compared to the traditional tests if the error distribution is normal. Additional topical coverage includes: smoothing and normalizing methods; two-sample adaptive tests; permutation tests with linear models; adaptive tests in linear models; application of adaptive tests; analysis of paired data; adaptive multivariate tests; analysis of repeated measures data; rank-based approaches to testing; adaptive confidence intervals; and adaptive correlation"--
  note: Thomas W. O'Gorman.
  note: Electronic resource.
  note: Includes bibliographical references and index.
  subject:
    title info:
      title: SAS (Computer file)
  subject:
    topic: Computer adaptive testing
  subject:
    topic: R (Computer program language)
  subject:
    topic: Regression analysis
  classification: QA278.2 .O35 2012eb
  classification: 519.5/36
  related item:
    title info:
      title: Adaptive tests of significance using permutations of residuals with R and SAS
    name:
      name part: O'Gorman, Thomas W.
    origin info:
      publisher: Hoboken, N.J. : Wiley, 2012
    identifier: (DLC) 2011038049
  related item:
    title info:
      title: Wiley Online Library
  identifier: 1118218221 (e-book)
  identifier: 1118218256
  identifier: 9781118218228 (e-book)
  identifier: 9781118218259
  identifier: 9780470922255
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: E7B
    record creation date: 111020
    record change date: 20210728124959.0
    record identifier: in00002787348
    language of cataloging:
      language term: eng