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A more efficient proportion estimator in ranked set sampling

Article ID Journal Published Year Pages File Type
5129706 Statistics & Probability Letters 2017 6 Pages PDF
Abstract

We propose a new estimator for the population proportion using a concomitant-based ranked set sampling (RSS) scheme. Simulation results show that the new estimator beats the standard estimator in the RSS as long as the ranking quality is fairly good.

Keywords
62D0562F03Concomitant variableLogistic regression
Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
Preview
A more efficient proportion estimator in ranked set sampling
Authors
Ehsan Zamanzade, M. Mahdizadeh,
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Journal
Statistics & Probability Letters
Journal: Statistics & Probability Letters
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