An Optimal Nonparametric Test of Symmetry Based on the Overlapping Coefficient Using an Extreme Ranked Set Sample: Application to Noninvasive Measurement of Cardiac Output by Electrical Velocimetry in Neonates

Hani M. Samawi; Robert L. Vogel

An Optimal Nonparametric Test of Symmetry Based on the Overlapping Coefficient Using an Extreme Ranked Set Sample: Application to Noninvasive Measurement of Cardiac Output by Electrical Velocimetry in Neonates

Biostatistics, Epidemiology & Environmental Health Sciences

Georgia Southern University

Research output: Contribution to conference › Presentation

Abstract

In this paper we provide a more efficient nonparametric test of symmetry based on the empirical overlap coefficient using kernel density estimation applied to an extreme ranked set sample. Our investigation reveals that our proposed test of symmetry is more powerful than all available tests of symmetry. Intensive simulation is conducted to examine the power of the proposed test. An illustration is provided using cardiac output and body weight of neonates in a neonatal intensive care unit.

Original language	American English
State	Published - Nov 2 2011
Event	American Public Health Association Annual Conference (APHA) - Duration: Nov 1 2016 → …

Conference

Conference	American Public Health Association Annual Conference (APHA)
Period	11/1/16 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Disciplines

Biostatistics
Public Health

Keywords

Nonparametric test
Symmetry
Overlapping coefficient
Ranked set sample application
Noninvasive measurement
Cardiac output
Electrical velocimetry
Neonates

Access to Document

https://apha.confex.com/apha/139am/webprogram/Paper235688.html

Fingerprint

Dive into the research topics of 'An Optimal Nonparametric Test of Symmetry Based on the Overlapping Coefficient Using an Extreme Ranked Set Sample: Application to Noninvasive Measurement of Cardiac Output by Electrical Velocimetry in Neonates'. Together they form a unique fingerprint.

Cite this

Samawi, H. M., & Vogel, R. L. (2011). An Optimal Nonparametric Test of Symmetry Based on the Overlapping Coefficient Using an Extreme Ranked Set Sample: Application to Noninvasive Measurement of Cardiac Output by Electrical Velocimetry in Neonates. American Public Health Association Annual Conference (APHA). https://apha.confex.com/apha/139am/webprogram/Paper235688.html

@conference{c4d70b34082e4ee1b922b8636ed94963,

title = "An Optimal Nonparametric Test of Symmetry Based on the Overlapping Coefficient Using an Extreme Ranked Set Sample: Application to Noninvasive Measurement of Cardiac Output by Electrical Velocimetry in Neonates",

abstract = " In this paper we provide a more efficient nonparametric test of symmetry based on the empirical overlap coefficient using kernel density estimation applied to an extreme ranked set sample. Our investigation reveals that our proposed test of symmetry is more powerful than all available tests of symmetry. Intensive simulation is conducted to examine the power of the proposed test. An illustration is provided using cardiac output and body weight of neonates in a neonatal intensive care unit.",

keywords = "Nonparametric test, Symmetry, Overlapping coefficient, Ranked set sample application, Noninvasive measurement, Cardiac output, Electrical velocimetry, Neonates",

author = "Samawi, \{Hani M.\} and Vogel, \{Robert L.\}",

year = "2011",

month = nov,

day = "2",

language = "American English",

note = "American Public Health Association Annual Conference (APHA) ; Conference date: 01-11-2016",

}

Samawi, HM & Vogel, RL 2011, 'An Optimal Nonparametric Test of Symmetry Based on the Overlapping Coefficient Using an Extreme Ranked Set Sample: Application to Noninvasive Measurement of Cardiac Output by Electrical Velocimetry in Neonates', American Public Health Association Annual Conference (APHA), 11/1/16. <https://apha.confex.com/apha/139am/webprogram/Paper235688.html>

An Optimal Nonparametric Test of Symmetry Based on the Overlapping Coefficient Using an Extreme Ranked Set Sample: Application to Noninvasive Measurement of Cardiac Output by Electrical Velocimetry in Neonates. / Samawi, Hani M.; Vogel, Robert L.
2011. American Public Health Association Annual Conference (APHA).

Research output: Contribution to conference › Presentation

TY - CONF

T1 - An Optimal Nonparametric Test of Symmetry Based on the Overlapping Coefficient Using an Extreme Ranked Set Sample: Application to Noninvasive Measurement of Cardiac Output by Electrical Velocimetry in Neonates

AU - Samawi, Hani M.

AU - Vogel, Robert L.

PY - 2011/11/2

Y1 - 2011/11/2

N2 - In this paper we provide a more efficient nonparametric test of symmetry based on the empirical overlap coefficient using kernel density estimation applied to an extreme ranked set sample. Our investigation reveals that our proposed test of symmetry is more powerful than all available tests of symmetry. Intensive simulation is conducted to examine the power of the proposed test. An illustration is provided using cardiac output and body weight of neonates in a neonatal intensive care unit.

AB - In this paper we provide a more efficient nonparametric test of symmetry based on the empirical overlap coefficient using kernel density estimation applied to an extreme ranked set sample. Our investigation reveals that our proposed test of symmetry is more powerful than all available tests of symmetry. Intensive simulation is conducted to examine the power of the proposed test. An illustration is provided using cardiac output and body weight of neonates in a neonatal intensive care unit.

KW - Nonparametric test

KW - Symmetry

KW - Overlapping coefficient

KW - Ranked set sample application

KW - Noninvasive measurement

KW - Cardiac output

KW - Electrical velocimetry

KW - Neonates

UR - https://digitalcommons.georgiasouthern.edu/biostat-facpres/24

UR - https://apha.confex.com/apha/139am/webprogram/Paper235688.html

M3 - Presentation

T2 - American Public Health Association Annual Conference (APHA)

Y2 - 1 November 2016

ER -

An Optimal Nonparametric Test of Symmetry Based on the Overlapping Coefficient Using an Extreme Ranked Set Sample: Application to Noninvasive Measurement of Cardiac Output by Electrical Velocimetry in Neonates

Abstract

Conference

UN SDGs

Disciplines

Keywords

Access to Document

Other files and links

Fingerprint

Cite this