Variance estimation in ranked set sampling using a concomitant variable


Autoria(s): Zamanzade, Ehsan; Vock, Michael
Data(s)

2015

31/12/1969

Resumo

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.

Formato

application/pdf

application/pdf

Identificador

http://boris.unibe.ch/69858/1/1506.06502.pdf

http://boris.unibe.ch/69858/8/1-s2.0-S016771521500187X-main.pdf

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 <http://dx.doi.org/10.1016/j.spl.2015.04.034>

doi:10.7892/boris.69858

info:doi:10.1016/j.spl.2015.04.034

urn:issn:1669-1676

Idioma(s)

eng

Publicador

Elsevier

Relação

http://boris.unibe.ch/69858/

Direitos

info:eu-repo/semantics/openAccess

info:eu-repo/semantics/restrictedAccess

Fonte

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 <http://dx.doi.org/10.1016/j.spl.2015.04.034>

Palavras-Chave #360 Social problems & social services #510 Mathematics
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

PeerReviewed