Quantile Interval Estimation of Finite Population Using Multivariate Auxiliary Information

Mohammad Saleh Ahmed, Walid A. Abu-Dayyeh, Hani Samawi

Research output: Contribution to journalArticlepeer-review

Abstract

This paper derives a class of method for estimating confidence intervals for finite population quantiles using multivariate auxiliary information. This method provides better performance over the method of Rueda and Arcos (1998). A simulation study is carried out for a real data set to make a relative comparison.
Original languageAmerican English
JournalJournal of Applied Statistical Science
Volume12
StatePublished - 2003

Keywords

  • Finite population
  • Multivariate auxiliary information
  • Quantile interval estimation

DC Disciplines

  • Biostatistics

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