• Medientyp: E-Artikel
  • Titel: Bootstrap Confidence Intervals for Conditional Quantile Functions
  • Beteiligte: Gangopadhyay, Ashis K.; Sen, Pranab K.
  • Erschienen: Indian Statistical Institute, 1990
  • Erschienen in: Sankhyā: The Indian Journal of Statistics, Series A (1961-2002), 52 (1990) 3, Seite 346-363
  • Sprache: Englisch
  • ISSN: 0581-572X
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <p>Based on the (<tex-math>$k_{n}$</tex-math>-) nearest neighbor as well as the (<tex-math>$h_{n}$</tex-math>-) kernel methods of estimation, bootstrap confidence intervals for a conditional quantile function are considered. Along with a Bahadur-type representation for bootstrap sample quantiles, the crucial choices of<tex-math>$k_{n}$</tex-math>and<tex-math>$h_{n}$</tex-math>are examined, and the related asymptotic theory is presented in a systematic manner.</p>