Nonparametric overlap coefficient estimation using ranked set sampling

Amal Helu; Hani Samawi; Robert Vogel

doi:10.1080/10485252.2010.533769

Nonparametric overlap coefficient estimation using ranked set sampling

Amal Helu, Hani Samawi, Robert Vogel

Biostatistics, Epidemiology, & Environmental Health Sciences

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

Ranked set sampling is used to produce a nonparametric kernel estimator of the overlap measure. Some asymptotic properties of the kernel estimator of overlap measure are established. Simulation studies are used to get an insight about the performance of the estimator when the ranked set sampling is used. Illustration using real data is also provided.

Original language	English
Pages (from-to)	385-397
Number of pages	13
Journal	Journal of Nonparametric Statistics
Volume	23
Issue number	2
DOIs	https://doi.org/10.1080/10485252.2010.533769
State	Published - Jun 2011

Keywords

Kernel density estimation
Overlap measures
Ranked set sampling
Relative bias
Relative efficiency
Simple random sample

Access to Document

10.1080/10485252.2010.533769

Cite this

@article{db688abf203d49a19f8949223052ffbc,

title = "Nonparametric overlap coefficient estimation using ranked set sampling",

abstract = "Ranked set sampling is used to produce a nonparametric kernel estimator of the overlap measure. Some asymptotic properties of the kernel estimator of overlap measure are established. Simulation studies are used to get an insight about the performance of the estimator when the ranked set sampling is used. Illustration using real data is also provided.",

keywords = "Kernel density estimation, Overlap measures, Ranked set sampling, Relative bias, Relative efficiency, Simple random sample",

author = "Amal Helu and Hani Samawi and Robert Vogel",

year = "2011",

month = jun,

doi = "10.1080/10485252.2010.533769",

language = "English",

volume = "23",

pages = "385--397",

journal = "Journal of Nonparametric Statistics",

issn = "1048-5252",

publisher = "Taylor and Francis Ltd.",

number = "2",

}

TY - JOUR

T1 - Nonparametric overlap coefficient estimation using ranked set sampling

AU - Helu, Amal

AU - Samawi, Hani

AU - Vogel, Robert

PY - 2011/6

Y1 - 2011/6

N2 - Ranked set sampling is used to produce a nonparametric kernel estimator of the overlap measure. Some asymptotic properties of the kernel estimator of overlap measure are established. Simulation studies are used to get an insight about the performance of the estimator when the ranked set sampling is used. Illustration using real data is also provided.

AB - Ranked set sampling is used to produce a nonparametric kernel estimator of the overlap measure. Some asymptotic properties of the kernel estimator of overlap measure are established. Simulation studies are used to get an insight about the performance of the estimator when the ranked set sampling is used. Illustration using real data is also provided.

KW - Kernel density estimation

KW - Overlap measures

KW - Ranked set sampling

KW - Relative bias

KW - Relative efficiency

KW - Simple random sample

UR - http://www.scopus.com/inward/record.url?scp=79957619442&partnerID=8YFLogxK

U2 - 10.1080/10485252.2010.533769

DO - 10.1080/10485252.2010.533769

M3 - Article

SN - 1048-5252

VL - 23

SP - 385

EP - 397

JO - Journal of Nonparametric Statistics

JF - Journal of Nonparametric Statistics

IS - 2

ER -

Nonparametric overlap coefficient estimation using ranked set sampling

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this