A Nonparametric Test of Symmetry Based on the Overlapping Coefficient

Hani M. Samawi; Robert L. Vogel; Amal Helu

A Nonparametric Test of Symmetry Based on the Overlapping Coefficient

Biostatistics, Epidemiology & Environmental Health Sciences

Research output: Contribution to conference › Presentation

Abstract

<p> In this paper we introduce a new nonparametric test of symmetry based on the empirical overlap coe&ffilig;cient using kernel density estimation. Our investigation reveals that the new test is more powerful than the runs test of symmetry proposed by McWilliams (1990). Intensive simulation is conducted to examine the power of the proposed test. Data from a level I Trauma center are used to illustrate the procedures developed in this paper.</p>

Original language	American English
State	Published - Mar 1 2010
Event	Eastern North American Region International Biometric Society Annual Conference (ENAR) - Duration: Mar 15 2015 → …

Conference

Conference	Eastern North American Region International Biometric Society Annual Conference (ENAR)
Period	03/15/15 → …

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

Access to Document

https://www.enar.org/meetings/meetings2010/ENAR_2010_Meeting_finalProgram.pdf

Cite this

@conference{15eb6d45cf2f46ee9b63efeffa167cb9,

title = "A Nonparametric Test of Symmetry Based on the Overlapping Coefficient",

abstract = " In this paper we introduce a new nonparametric test of symmetry based on the empirical overlap coe\&ffilig;cient using kernel density estimation. Our investigation reveals that the new test is more powerful than the runs test of symmetry proposed by McWilliams (1990). Intensive simulation is conducted to examine the power of the proposed test. Data from a level I Trauma center are used to illustrate the procedures developed in this paper.",

keywords = "Nonparametric test, Symmetry, Overlapping coefficient",

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

year = "2010",

month = mar,

day = "1",

language = "American English",

note = "Eastern North American Region International Biometric Society Annual Conference (ENAR) ; Conference date: 15-03-2015",

}

TY - CONF

T1 - A Nonparametric Test of Symmetry Based on the Overlapping Coefficient

AU - Samawi, Hani M.

AU - Vogel, Robert L.

AU - Helu, Amal

PY - 2010/3/1

Y1 - 2010/3/1

N2 - In this paper we introduce a new nonparametric test of symmetry based on the empirical overlap coe&ffilig;cient using kernel density estimation. Our investigation reveals that the new test is more powerful than the runs test of symmetry proposed by McWilliams (1990). Intensive simulation is conducted to examine the power of the proposed test. Data from a level I Trauma center are used to illustrate the procedures developed in this paper.

AB - In this paper we introduce a new nonparametric test of symmetry based on the empirical overlap coe&ffilig;cient using kernel density estimation. Our investigation reveals that the new test is more powerful than the runs test of symmetry proposed by McWilliams (1990). Intensive simulation is conducted to examine the power of the proposed test. Data from a level I Trauma center are used to illustrate the procedures developed in this paper.

KW - Nonparametric test

KW - Symmetry

KW - Overlapping coefficient

UR - https://digitalcommons.georgiasouthern.edu/biostat-facpres/32

UR - https://www.enar.org/meetings/meetings2010/ENAR_2010_Meeting_finalProgram.pdf

M3 - Presentation

T2 - Eastern North American Region International Biometric Society Annual Conference (ENAR)

Y2 - 15 March 2015

ER -

A Nonparametric Test of Symmetry Based on the Overlapping Coefficient

Abstract

Conference

UN SDGs

Disciplines

Keywords

Access to Document

Other files and links

Fingerprint

Cite this