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: Multi-sample functional statistical data analysis
  name:
    name part: Parzen, Emanuel
    name part: 1929-2016
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Texas A & M University
    name part: Department of Statistics,
    role:
      role term: issuing body.
  name:
    name part: Texas A & M Research Foundation
  name:
    name part: United States
    name part: Army Research Office,
    role:
      role term: sponsoring body.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: txu
    date issued: 1989
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: 11 pages, 1 unnumbered pages : illustrations ; 28 cm
  abstract: This paper discusses a functional approach to the problem of comparison of multi-samples (two samples or c samples, where c> or = 2). The data consists of c random samples whose probability distributions are to be tested for equality. A diversity of statistics to test equality of c samples are presented in a unified framework with the aim of helping the researcher choose the optimal procedures which provide greatest insight about how the samples differ in their distributions. Concepts discussed are: sample distribution functions; ranks; mid-distribution function; two- sample t test and nonparametric Wilcoxon test; multi-sample analysis of variance and Kruskal Wallis test; Anderson Darling and Cramer von Mises tests; components and linear rank statistics; comparison distribution and comparison density functions, especially for discrete distributions; components with orthogonal polynomial score functions; chi-square tests and their components.
  note: Emanuel Parzen.
  note: "May 1989."
  note: "Texas A&M Research Foundation Project Number 5641."
  note: Includes bibliographical references (page 10).
  note: Technical report.
  note: Sponsored by the U.S. Army Research Office DAAL03-87-K-0003
  subject:
    topic: Multiple comparisons (Statistics)
  subject:
    topic: Statistical hypothesis testing
  subject:
    topic: Distribution (Probability theory)
  subject:
    topic: Regression analysis
  subject:
    topic: Nonparametric statistics
  subject:
    topic: Ranking and selection (Statistics)
  subject:
    topic: Analysis of variance
  subject:
    topic: Chi-square test
  subject:
    topic: Mathematical statistics
  subject:
    topic: Quantile data analysis
  subject:
    topic: Multi-sample nonparametric testing
  subject:
    topic: Anderson Darling tests
  subject:
    topic: Cramer von Mises tests
  subject:
    topic: Comparison density function
  subject:
    topic: Components
  classification: QA276.A12 T4 no.54
  related item:
    title info:
      title: Technical report (Texas A & M University. Department of Statistics) ; no. 54
  record info:
    record content source: TXA
    record creation date: 180405
    record change date: 20191026063238.0
    record identifier: in00003931668
    language of cataloging:
      language term: eng