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: Permutation Methods
    sub title: A Distance Function Approach
  name:
    name part: Mielke, Paul W.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Berry, Kenneth J.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxu
    date issued: 2007
    edition: Second.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 446 p. online resource.
  abstract: Most commonly-used parametric and permutation statistical tests, such as the matched-pairs t test and analysis of variance, are based on non-metric squared distance functions that have very poor robustness characteristics. This second edition places increased emphasis on the use of alternative permutation statistical tests based on metric Euclidean distance functions that have excellent robustness characteristics. These alternative permutation techniques provide many powerful multivariate tests including multivariate multiple regression analyses. In addition to permutation techniques described in the first edition, this second edition also contains various new permutation statistical methods and studies that include resampling multiple contingency table analyses, analysis concerns involving log-linear models with small samples, an exact discrete analog of Fisher’s continuous method for combining P-values that arise from small data sets, multiple dichotomous response analyses, problems regarding Fisher’s Z transformation for correlation analyses, and multivariate similarity comparisons between corresponding multiple categories of two samples. Paul W. Mielke, Jr. is Professor of Statistics at Colorado State University, and a fellow of the American Statistical Association. Kenneth J. Berry is Professor of Sociology at Colorado State University.
  table of contents: Description of MRPP -- Additional MRPP Applications -- Description of MRBP -- Regression Analysis, Prediction, and Agreement -- Goodness-of-Fit Tests -- Contingency Tables -- Multisample Homogeneity Tests -- Selected Permutation Studies.
  note: by Paul W. Mielke, Kenneth J. Berry.
  subject:
    topic: Mathematics
  subject:
    topic: Public health
  subject:
    topic: Data mining
  subject:
    topic: Biometrics (Biology)
  subject:
    topic: Probabilities
  subject:
    topic: Statistics
  subject:
    topic: Psychometrics
  subject:
    topic: Mathematics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Statistical Theory and Methods
  subject:
    topic: Biometrics
  subject:
    topic: Data Mining and Knowledge Discovery
  subject:
    topic: Psychometrics
  subject:
    topic: Public Health
  classification: QA273.A1-274.9
  classification: QA274-274.9
  classification: 519.2
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Series in Statistics
  identifier: 9780387698137
  identifier: http://dx.doi.org/10.1007/978-0-387-69813-7
  record info:
    record creation date: 100301
    record change date: 20151204175506.0
    record identifier: 978-0-387-69813-7