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Some refinements of the quasi-quantiles

  • University of Rochester

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Abstract

R.D. Reiss's (1980) proposal of quasi-quantiles, i.e. certain kernel estimators of population quantiles Q(u), is extended using a mixing function h(u) and an asymmetric bandwidth function defined by endpoints γ(u) and δ(u). The second order terms in the expansions of the expected value and variance are used to determine h(u), γ(u) and δ(u) and thus refine quasi-quantiles.

Original languageEnglish
Pages (from-to)67-74
Number of pages8
JournalStatistics and Probability Letters
Volume32
Issue number1
DOIs
StatePublished - Feb 14 1997

Keywords

  • Asymptotic expansion
  • Bias
  • Optimization
  • Variance

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