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A Comparative Study of Permutation Tests with Euclidean and Bray-Curtis Distances for Common Agricultural Distributions in Regression

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dc.authorscopusid24385660900
dc.contributor.authorÖnder, H.
dc.date.accessioned2020-06-21T15:12:47Z
dc.date.available2020-06-21T15:12:47Z
dc.date.issued2008
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Önder] Hasan, Department of Animal Science Biometry and Genetics, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractThis study describes the efficiency of permutation test for Normal, Poisson, Chi-Square and Cauchy distributions. Permutation of raw data with Euclidean distance method can be recommended when the sample size is less than 15 and permutation of residuals under the full model with Euclidean distance method can be preferred when the sample size is higher than 15 except for normal distribution. Bray-Curtis distances are not suitable for such distributions. © GSP, India.en_US
dc.identifier.doi10.1080/09712119.2008.9706957
dc.identifier.endpage136en_US
dc.identifier.issn0971-2119
dc.identifier.issn0974-1844
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-77954249393
dc.identifier.scopusqualityQ2
dc.identifier.startpage133en_US
dc.identifier.urihttps://doi.org/10.1080/09712119.2008.9706957
dc.identifier.volume34en_US
dc.identifier.wosWOS:000262618600007
dc.identifier.wosqualityQ2
dc.institutionauthorÖnder, H.
dc.language.isoenen_US
dc.publisherGaruda Scientific Publicationsen_US
dc.relation.ispartofJournal of Applied Animal Researchen_US
dc.relation.journalJournal of Applied Animal Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectBray-Curtis Distanceen_US
dc.subjectDistributionsen_US
dc.subjectEuclidean Distanceen_US
dc.subjectLinear Regressionen_US
dc.subjectResampling Methodsen_US
dc.titleA Comparative Study of Permutation Tests with Euclidean and Bray-Curtis Distances for Common Agricultural Distributions in Regressionen_US
dc.typeArticleen_US
dspace.entity.typePublication

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