DTIC ADA119196: Asymptotic Theory for Nonparametric Confidence pdf

DTIC ADA119196: Asymptotic Theory for Nonparametric Confidence_bookcover

DTIC ADA119196: Asymptotic Theory for Nonparametric Confidence

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Description of the Book:

In practice, nonparametric confidence intervals often have undesirable small sample asymmetry and converge characteristics. By applying Edgeworth expansion theory, we obtain asymptotic expansions for the errors associated with nonparametric confidence intervals. This analysis isolates the various elements that contribute to error. We then proceed to develop first and second order corrections to the standard nonparametric interval, which deal with asymmetry problems and coverage difficulties, respectively. (Author

  • Creator/s: Defense Technical Information Center
  • Date: 7/1/1982
  • Year: 1982
  • Book Topics/Themes: DTIC Archive, Glynn, Peter W, STANFORD UNIV CA DEPT OF OPERATIONS RESEARCH, *CONFIDENCE LIMITS, *NONPARAMETRIC STATISTICS, *ASYMPTOTIC SERIES, EXPANSION, INTERVALS, THEORY, CORRECTIONS, ASYMMETRY

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