A Comparison Of Confidence Intervals From R-Estimators In Regression

Karen J. George, Joseph W. Mckean, William R. Schucany, Simon J. Sheather

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The small sample properties of a number of approaches to finding a confidence interval for a slope parameter in rank regression are investigated. An approach based on the bootstrap percentile-t procedure is shown to have excellent overall performance.

Original languageEnglish
Pages (from-to)13-22
Number of pages10
JournalJournal of Statistical Computation and Simulation
Volume53
Issue number1-2
DOIs
StatePublished - Oct 1 1995

Keywords

  • Bootstrap
  • Jackknife
  • Monte Carlo
  • Standard error

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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