An investigation of relative efficiency of least-squares prediction to conventional probability sampling plans

Research output: Contribution to journalArticle

Abstract

A particular finite population, typical of the type encountered in practice, is used to assess the efficiency of ratio estimation of the finite population total using conventional unrestricted random sampling, extreme and balanced sampling plans, for samples of size 10, 50, 100, and 200. The balanced sampling plans are seen to be as much as 30 percent more efficient than the corresponding unrestricted random sampling plan regardless of sample size, but the extreme sample is inferior to both of these plans.

Original languageEnglish (US)
Pages (from-to)700-703
Number of pages4
JournalJournal of the American Statistical Association
Volume71
Issue number355
DOIs
StatePublished - Jan 1 1976
Externally publishedYes

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Relative Efficiency
Least Squares
Random Sampling
Prediction
Finite Population
Extremes
Percent
Sample Size
Relative efficiency
Least squares
Random sampling
Sampling
Sample size

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

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