Variance estimation in ranked set sampling using a concomitant variable

Zamanzade, Ehsan; Vock, Michael (2015). Variance estimation in ranked set sampling using a concomitant variable. Statistics and Probability Letters, 105, pp. 1-5. Elsevier 10.1016/j.spl.2015.04.034

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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.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Department of Mathematics and Statistics > Institute of Mathematical Statistics and Actuarial Science

UniBE Contributor:

Zamanzade, Ehsan and Vock, Michael Peter

Subjects:

300 Social sciences, sociology & anthropology > 360 Social problems & social services
500 Science > 510 Mathematics

ISSN:

1669-1676

Publisher:

Elsevier

Language:

English

Submitter:

Lutz Dümbgen

Date Deposited:

14 Aug 2015 12:59

Last Modified:

01 Nov 2016 02:30

Publisher DOI:

10.1016/j.spl.2015.04.034

BORIS DOI:

10.7892/boris.69858

URI:

https://boris.unibe.ch/id/eprint/69858

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