Indices of empirical robustness

J. Cabrera, G. Maguluri, K. Singh

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The article proposes a number of indices, taking values between zero and one, intended to measure data robustness of the inference on the given data set. These indices are based on repeated inference on the deleted samples and in some cases bootstrap samples, and thus are computer intensive.

Original languageEnglish (US)
Pages (from-to)49-62
Number of pages14
JournalStatistics and Probability Letters
Volume33
Issue number1
DOIs
StatePublished - Apr 15 1997

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Keywords

  • Bootstrap
  • Concepts of distance
  • Confidence intervals
  • Data robustness
  • Jackknife
  • p-values

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