Calibrating Confidence Coefficients

  title={Calibrating Confidence Coefficients},
  author={Wei-Yin Loh},
Two approaches for dealing with the problem of poor coverage probabilities of certain standard confidence intervals are proposed. The first is a recommendation that the actual coverage be estimated irectly from the data and its value reported in addition to the nominal level. This is achieved through a combination of computer simulation and density estimation. The asymptotic validity of the procedure is proved for a number of common situations. A classical example is the nonparametric… CONTINUE READING


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Showing 1-10 of 12 references

Edgeworth Corrected Pivotal Statistics and the Bootstrap

  • L. Abramovitch, K. Singh
  • The Annals of Statistics
  • 1985
Highly Influential
4 Excerpts

Qualms About Bootstrap Confidence Intervals

  • D. W. Scott, L. E. Factor
  • 1985

Improvements ofJackknife Confidence Limit Methods

  • P. L. Hsu
  • 1984

Estimated Sampling Distributions : The Bootstrap and Competitors

  • R. Beran
  • 1982
1 Excerpt

Monte Carlo Study of Three DataBased Nonparametric Probability Density Estimators

  • D. W. Scott, R. A. Tapia, J. R. Thompson
  • Journal of the American Statistical Association
  • 1981

On the Asymptotic Accuracy of Efron ' s Bootstrap

  • C. F. J. Wu
  • 1981

Some Asymptotic Theory for the Bootstrap

  • L. Breiman, W. Meisel, E. Purcell
  • The Annals of Statistics
  • 1981

Modified tTests and Confidence Intervals for Asymmetrical Populations

  • A. F. S. Lee, J. Gurland
  • 1978

" Variable Kernel Estimates of Multivariate Densities

  • K. L. Chung
  • 1977

The Nonexistence of Certain Statistical Procedures in Nonparametric Problems

  • R. R. Bahadur, L. J. Savage
  • Annals of Mathematical Statistics
  • 1956
1 Excerpt

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