Combining ranking information in judgment post stratified and ranked set sampling designs |
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Authors: | Omer Ozturk |
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Institution: | (1) Department of Statistics, The Ohio State University, 404 Cockins Hall, 1958 Neil Ave., Columbus, OH 43210, USA |
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Abstract: | Judgment post stratified (JPS) and ranked set sampling (RSS) designs rely on the ability of a ranker to assign ranks to potential
observations on available experimental units. In many settings, there are often more than one rankers available and each of
these rankers provide judgment ranks. This paper proposes two sampling schemes, one for JPS and the other for RSS, to combine
the judgment ranks of these rankers to produce a strength of agreement measure for each fully measured unit. This strength
measure is used to draw inference for the population mean and cumulative distribution function. The paper shows that the estimators
constructed based on this strength measure provide a substantial improvement over the same estimators based on judgment ranking
information of a single best ranker. |
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Keywords: | |
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