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

Nahhas Ramzi W. | Zendy; Wolfe Douglas A. | Zendy; Chen Haiying | Zendy

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

Author(s) -

Nahhas Ramzi W.,

Wolfe Douglas A.,

Chen Haiying

Publication year - 2004

Publication title -

biometrical journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.108

H-Index - 63

eISSN - 1521-4036

pISSN - 0323-3847

DOI - 10.1002/bimj.200210021

Subject(s) - statistics , ranking (information retrieval) , estimator , variance (accounting) , sampling (signal processing) , mathematics , set (abstract data type) , econometrics , computer science , artificial intelligence , accounting , filter (signal processing) , business , computer vision , programming language

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. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

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