Ordered extreme ranked set sampling and its application in parametric estimation

DOI

10.2991/jsta.2016.15.3.5How to use a DOI?

Keywords

Ranked set sampling, Concomitants of order statistics, Morgenstern family of distributions, Best linear unbiased estimator.

Abstract

Ranked set sampling (RSS) is applicable whenever ranking of a set of sampling units can be done easily by a judgment method or based on the measurement of an auxiliary variable which can be measured easily. In this work, a modification of RSS called ordered extreme ranked set sampling is considered for Morgenstern family of distributions, in which an auxiliary variable X correlated with the study variate Y is used to rank the sample units. This modification of RSS is applied to obtain an estimator of the parameter associated with the study variate Y, when (X,Y) follows a Morgenstern type bivariate exponential distribution.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Manoj Chacko
PY  - 2016
DA  - 2016/09/01
TI  - Ordered extreme ranked set sampling and its application in parametric estimation
JO  - Journal of Statistical Theory and Applications
SP  - 248
EP  - 258
VL  - 15
IS  - 3
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2016.15.3.5
DO  - 10.2991/jsta.2016.15.3.5
ID  - Chacko2016
ER  -