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: Deconvoluting kernel density estimators
  title info:
    title: Density deconvolution
  name:
    name part: Stefanski, Leonard A.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Carroll, Raymond J.
    role:
      role term: author.
  name:
    name part: Texas A & M University
    name part: Department of Statistics,
    role:
      role term: issuing body.
  name:
    name part: National Science Foundation (U.S.)
    role:
      role term: sponsoring body.
  name:
    name part: United States
    name part: Air Force.
    name part: Office of Scientific Research,
    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: 15 leaves, 3 unnumbered leaves : illustrations ; 28 cm
  abstract: This paper considers estimation of a continuous bounded probability density when observations from the density are contaminated by additive measurement errors having a known distribution. Properties of the estimator obtained by deconvolving a kernel estimator of the observed data are investigated. When the kernel used is sufficiently smooth the deconvolved estimator is shown to be pointwise consistent and bounds on its integrated mean squared error are derived. Very weak assumptions are made on the measurement-error density thereby permitting a comparison of the effects of different types of measurement error on the deconvolved estimator.
  note: Leonard A. Stefanski and Raymond J. Carroll.
  note: Offprint: Statistics.
  note: Funding information taken from leaf 13.
  note: Includes bibliographical references (leaves 13-15).
  note: U.S. National Science Foundation, the U.S. Air Force Office of Scientific Research
  subject:
    topic: Errors-in-variables models
  subject:
    topic: Kernel functions
  subject:
    topic: Error analysis (Mathematics)
  subject:
    topic: Convolutions (Mathematics)
  subject:
    topic: Estimation theory
  subject:
    topic: Regression analysis
  subject:
    topic: Mathematical statistics
  subject:
    topic: Statistics
    topic: Nonparametric inference
    topic: Density estimation
  subject:
    topic: Statistics
    topic: Multivariate analysis
    topic: Factor analysis and principal components; correspondence analysis
  subject:
    topic: Measurement error models
  subject:
    topic: Deconvolution
  classification: QA276.A12 T4 no.69
  related item:
    title info:
      title: Technical report (Texas A & M University. Department of Statistics) ; no. 69
  record info:
    record content source: TXA
    record creation date: 180406
    record change date: 20180406151258.0
    record identifier: in00003939919
    language of cataloging:
      language term: eng