Simple Unbalanced Ranked Set Sampling for Mean Estimation of Response Variable of Developmental Programs

Girish Chandra, Dinesh S. Bhoj, Rajiv Pandey

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

An unbalanced ranked set sampling (RSS) procedure on the skewed survey variable is proposed to estimate the population mean of a response variable from the area of developmental programs which are generally implemented under different phases. It is based on the unbalanced RSS under linear impacts of the program and is compared with the estimators based on simple random sampling (SRS) and balanced RSS. It is shown that the relative precision of the proposed estimator is higher than those of the estimators based on SRS and balanced RSS for three chosen skewed distributions of survey variables.

Original languageEnglish (US)
Pages (from-to)1-13
Number of pages13
JournalJournal of Modern Applied Statistical Methods
Volume17
Issue number1
DOIs
StatePublished - 2018

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Keywords

  • gamma distribution
  • Impact factor
  • lognormal distribution
  • ranked set sampling
  • relative precision
  • response variable
  • skew distribution
  • survey variable
  • Weibull distribution

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