Variance estimation in ranked set sampling using a concomitant variable
Options
BORIS DOI
Publisher DOI
Description
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.
Date of Publication
2015
Publication Type
Article
Language(s)
en
Additional Credits
Series
Statistics and Probability Letters
Publisher
Elsevier
ISSN
1669-1676
Access(Rights)
open.access