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Article: A simulation study comparing tests for the equality of coefficients of variation

TitleA simulation study comparing tests for the equality of coefficients of variation
Authors
Issue Date1998
PublisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/
Citation
Statistics In Medicine, 1998, v. 17 n. 17, p. 2003-2014 How to Cite?
AbstractThe coefficient of variation is commonly used in medical and biological sciences. In this paper, several parametric and non-parametric tests for the equality of coefficients of variation in κ populations are reviewed. Simulation studies are conducted to compare the sizes and power of these tests. It is found that the parametric tests perform well if the data are normally distributed, but perform poorly if otherwise. The non-parametric test, however, is rather robust against the underlying distribution. An example using data of the Quality Assurance Program from the Hong Kong Medical Technology Association in Haematology and Serology is provided. The insensitivity of the non-parametric test to outliers is demonstrated.
Persistent Identifierhttp://hdl.handle.net/10722/82686
ISSN
2015 Impact Factor: 1.533
2015 SCImago Journal Rankings: 1.811
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorFung, WKen_HK
dc.contributor.authorTsang, TSen_HK
dc.date.accessioned2010-09-06T08:32:14Z-
dc.date.available2010-09-06T08:32:14Z-
dc.date.issued1998en_HK
dc.identifier.citationStatistics In Medicine, 1998, v. 17 n. 17, p. 2003-2014en_HK
dc.identifier.issn0277-6715en_HK
dc.identifier.urihttp://hdl.handle.net/10722/82686-
dc.description.abstractThe coefficient of variation is commonly used in medical and biological sciences. In this paper, several parametric and non-parametric tests for the equality of coefficients of variation in κ populations are reviewed. Simulation studies are conducted to compare the sizes and power of these tests. It is found that the parametric tests perform well if the data are normally distributed, but perform poorly if otherwise. The non-parametric test, however, is rather robust against the underlying distribution. An example using data of the Quality Assurance Program from the Hong Kong Medical Technology Association in Haematology and Serology is provided. The insensitivity of the non-parametric test to outliers is demonstrated.en_HK
dc.languageengen_HK
dc.publisherJohn Wiley & Sons Ltd. The Journal's web site is located at http://www.interscience.wiley.com/jpages/0277-6715/en_HK
dc.relation.ispartofStatistics in Medicineen_HK
dc.rightsStatistics in Medicine. Copyright © John Wiley & Sons Ltd.en_HK
dc.titleA simulation study comparing tests for the equality of coefficients of variationen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-6715&volume=17&spage=2003&epage=2014&date=1998&atitle=A+simulation+study+comparing+tests+for+the+equality+of+coefficients+of+variationen_HK
dc.identifier.emailFung, WK: wingfung@hku.hken_HK
dc.identifier.authorityFung, WK=rp00696en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1002/(SICI)1097-0258(19980915)17:17<2003::AID-SIM889>3.0.CO;2-Ien_HK
dc.identifier.pmid9777692en_HK
dc.identifier.scopuseid_2-s2.0-0031670285en_HK
dc.identifier.hkuros43460en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0031670285&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume17en_HK
dc.identifier.issue17en_HK
dc.identifier.spage2003en_HK
dc.identifier.epage2014en_HK
dc.identifier.isiWOS:000075686800008-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridFung, WK=13310399400en_HK
dc.identifier.scopusauthoridTsang, TS=36881569600en_HK

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