{"data":{"id":"10.6084/m9.figshare.1627938","type":"dois","attributes":{"doi":"10.6084/m9.figshare.1627938","prefix":"10.6084","suffix":"m9.figshare.1627938","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Yihuan Xu","affiliation":[],"nameIdentifiers":[]},{"name":"Iglewicz, Boris","nameType":"Personal","givenName":"Boris","familyName":"Iglewicz","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"False Discovery Versus Familywise Error Rate Approaches to Outlier Detection"}],"publisher":"Taylor \u0026 Francis","container":{},"publicationYear":2015,"subjects":[{"subject":"Space Science"},{"subject":"Genetics"},{"subject":"FOS: Biological sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Biological sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"Pharmacology"},{"subject":"69999 Biological Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"80699 Information Systems not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Computer and information sciences","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Computer and information sciences","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"19999 Mathematical Sciences not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Mathematics","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Mathematics","subjectScheme":"Fields of Science and Technology (FOS)"}],"contributors":[],"dates":[{"date":"2015-12-23","dateType":"Created"},{"date":"2016-06-02","dateType":"Updated"},{"date":"2015","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1080/19466315.2015.1119720","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["228495 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"Outliers, in general, are observations that deviate sufficiently from a base distribution. This study deals with outlier detection approaches for large samples from continuous univariate distributions. Investigated are the properties of a practical newer outlier detection approach based on use of a false discovery rate (FDR) method in conjunction with a robustly estimated Tukey g-and-h base distribution. Compared are the properties of a boxplot type outlier detection approach that controls the familywise error rate (FWER) with a newer FDR approach. These options are compared in terms of error rates and effects of moving the outliers gradually further from base distribution center while using 5% and 1% FDR or FWERs. Two microarray datasets are used as examples where the assumed null distributions do not fit the data well. In such cases, the proposed estimated Tukey g-and-h null distribution approach leads to superior outlier detection performance. Supplementary materials for this article are available online.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"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","url":"https://tandf.figshare.com/articles/dataset/False_Discovery_versus_Familywise_Error_Rate_Approaches_to_Outlier_Detection/1627938","contentUrl":null,"metadataVersion":3,"schemaVersion":"http://datacite.org/schema/kernel-4","source":"mds","isActive":true,"state":"findable","reason":null,"viewCount":0,"viewsOverTime":[],"downloadCount":0,"downloadsOverTime":[],"referenceCount":0,"citationCount":0,"citationsOverTime":[],"partCount":0,"partOfCount":0,"versionCount":0,"versionOfCount":0,"created":"2015-12-23T01:07:14.000Z","registered":"2015-12-23T01:07:15.000Z","published":"2015","updated":"2020-09-04T13:54:46.000Z"},"relationships":{"client":{"data":{"id":"figshare.ars","type":"clients"}},"provider":{"data":{"id":"otjm","type":"providers"}},"media":{"data":{"id":"10.6084/m9.figshare.1627938",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