Ranked Set Sampling: Ranking Error Models and Estimation of Visual Judgment Error Variance

Ramzi W. Nahhas; Douglas A. Wolfe; Halying Chen

doi:10.1002/bimj.200210021

Ranked Set Sampling: Ranking Error Models and Estimation of Visual Judgment Error Variance

Ramzi W. Nahhas, Douglas A. Wolfe, Halying Chen

Population and Public Health Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

Ranked set sampling where sampling is based on visual judgment of the differences between the sizes of pairs of units or on a concomitant variable is reviewed. An alternative model for judgment ranking based on ratios of sizes of pairs of units is presented. Computation of the variance of a visual ranked set sampling estimator of the mean of a distribution is enabled via maximum likelihood estimation of the visual judgment error variance.

Original language	English
Pages (from-to)	255-263
Number of pages	9
Journal	Biometrical Journal
Volume	46
Issue number	2
DOIs	https://doi.org/10.1002/bimj.200210021
State	Published - Jan 1 2004

ASJC Scopus Subject Areas

Statistics and Probability
Statistics, Probability and Uncertainty

Keywords

Judgment ranking
Maximum likelihood estimation
Order statistics

Disciplines

Public Health

Access to Document

10.1002/bimj.200210021

Cite this

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abstract = "Ranked set sampling where sampling is based on visual judgment of the differences between the sizes of pairs of units or on a concomitant variable is reviewed. An alternative model for judgment ranking based on ratios of sizes of pairs of units is presented. Computation of the variance of a visual ranked set sampling estimator of the mean of a distribution is enabled via maximum likelihood estimation of the visual judgment error variance.",

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KW - Maximum likelihood estimation

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Ranked Set Sampling: Ranking Error Models and Estimation of Visual Judgment Error Variance

Abstract

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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Cite this