New ranked set sampling for one-parameter family of distributions

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Abstract

BHOJ (1997c) proposed a new ranked set sampling (NRSS) procedure for a specific two-parameter family of distributions when the sample size is even. This NRSS procedure can be applied to one-parameter family of distributions when the sample size is even. However, this procedure cannot be used if the sample size is odd. Therefore, in this paper, we propose a modified version of the NRSS procedure which can be used for one-parameter distributions when the sample size is odd. Simple estimator for the parameter based on proposed NRSS is derived. The relative precisions of this estimator are higher than those of other estimators which are based on other ranked set sampling procedures and the best linear unbiased estimator using all order statistics.

Original languageEnglish (US)
Pages (from-to)647-658
Number of pages12
JournalBiometrical Journal
Volume42
Issue number5
DOIs
StatePublished - 2000

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Keywords

  • Best linear unbiased estimator
  • Exponential distribution
  • Least squares estimator
  • Logistic distribution
  • Modified ranked set sampling
  • Rayleigh distribution
  • Relative precision

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