Variance Estimation in Ranked Set Sampling Using a Concomitant Variable
classification
📊 stat.ME
keywords
concomitantestimatornonparametricrankedsamplingvariablevarianceapplied
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We propose a nonparametric variance estimator when ranked set sampling (RSS) and judgment post stratification (JPS) are applied by measuring a concomitant variable. Our proposed estimator is obtained by conditioning on observed concomitant values and using nonparametric kernel regression.
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