On Distribution Function Estimation Using Double Ranked Set Samples With Application

Walid A. Abu-Dayyeh, Hani Samawi, Lara A. Bani-Hani

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3 Scopus citations
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Abstract

As a variation of ranked set sampling (RSS); double ranked set sampling (DRSS) was introduced by Al-Saleh and Al-Kadiri (2000), and it has been used only for estimating the mean of the population. In this paper DRSS will be used for estimating the distribution function (cdf). The efficiency of the proposed estimators will be obtained when ranking is perfect. Some inference on the distribution function will be drawn based on Kolomgrov-Smirnov statistic. It will be shown that using DRSS will increase the efficiency in this case.

Original languageAmerican English
JournalJournal of Modern Applied Statistical Methods
DOIs
StatePublished - Nov 1 2002

Disciplines

  • Applied Statistics
  • Statistical Theory
  • Social and Behavioral Sciences

Keywords

  • Double ranked set sample
  • Kolomgrov-Smirnov
  • distribution function estimation
  • ranked set

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