Distribution-Free Runs Test for Conditional Symmetry

Hani M. Samawi; Amal Helu; Hani Samawi

doi:10.1080/03610926.2010.491592

Distribution-Free Runs Test for Conditional Symmetry

Hani M. Samawi, Amal Helu, Hani Samawi

Biostatistics, Epidemiology & Environmental Health Sciences

Georgia Southern University

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

1 Scopus citations

Abstract

A distribution-free runs test for conditional symmetry is proposed. The null distribution of the test statistics is derived. Intensive simulation is conducted to examine the power of the proposed test for different sample sizes and different alternatives. Data on the bilirubin level of babies in neonatal intensive care is used to illustrate the method.

Original language	American English
Journal	Communication in Statistics - Theory and Methods
Volume	40
DOIs	https://doi.org/10.1080/03610926.2010.491592
State	Published - May 1 2011

Disciplines

Public Health
Biostatistics
Community Health

Keywords

Conditional symmetry
Invariant test
Power of the test
Runs test

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10.1080/03610926.2010.491592License: Unspecified

http://dx.doi.org/10.1080/03610926.2010.491592

Cite this

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title = "Distribution-Free Runs Test for Conditional Symmetry",

abstract = "A distribution-free runs test for conditional symmetry is proposed. The null distribution of the test statistics is derived. Intensive simulation is conducted to examine the power of the proposed test for different sample sizes and different alternatives. Data on the bilirubin level of babies in neonatal intensive care is used to illustrate the method.",

keywords = "Conditional symmetry, Invariant test, Power of the test, Runs test",

author = "Samawi, {Hani M.} and Amal Helu and Hani Samawi",

year = "2011",

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doi = "10.1080/03610926.2010.491592",

language = "American English",

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T1 - Distribution-Free Runs Test for Conditional Symmetry

AU - Samawi, Hani M.

AU - Helu, Amal

AU - Samawi, Hani

PY - 2011/5/1

Y1 - 2011/5/1

N2 - A distribution-free runs test for conditional symmetry is proposed. The null distribution of the test statistics is derived. Intensive simulation is conducted to examine the power of the proposed test for different sample sizes and different alternatives. Data on the bilirubin level of babies in neonatal intensive care is used to illustrate the method.

AB - A distribution-free runs test for conditional symmetry is proposed. The null distribution of the test statistics is derived. Intensive simulation is conducted to examine the power of the proposed test for different sample sizes and different alternatives. Data on the bilirubin level of babies in neonatal intensive care is used to illustrate the method.

KW - Conditional symmetry

KW - Invariant test

KW - Power of the test

KW - Runs test

UR - https://digitalcommons.georgiasouthern.edu/biostat-facpubs/15

UR - http://dx.doi.org/10.1080/03610926.2010.491592

U2 - 10.1080/03610926.2010.491592

DO - 10.1080/03610926.2010.491592

M3 - Article

VL - 40

JO - Communication in Statistics - Theory and Methods

JF - Communication in Statistics - Theory and Methods

ER -

Distribution-Free Runs Test for Conditional Symmetry

Abstract

Disciplines

Keywords

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