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dc.contributor.author이혜성-
dc.date.accessioned2016-08-27T02:08:30Z-
dc.date.available2016-08-27T02:08:30Z-
dc.date.issued2006-
dc.identifier.issn1226-7708-
dc.identifier.otherOAK-3522-
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/216020-
dc.description.abstractAn increase in variance (overdispersion) can occur when a binomial statistical analysis is applied to sensory difference test data in which replicate sensory evaluations (tastings) and multiple evaluators (judges) are combined to increase the sample size. Such a practice can cause extensive Type I errors, leading to serious misinterpretations of the data, especially when traditional simple binomial analysis is applied. Alternatively, the use of beta binomial analysis will circumvent the problem of overdispersion. This brief review discusses the uses and computation methodology of beta binomial analysis and in practice evidence for the occurrence of overdispersion.-
dc.languageEnglish-
dc.publisherKOREAN SOC FOOD SCIENCE TECHNOLOGY-
dc.subjectsensory evaluation-
dc.subjectsensory difference tests-
dc.subjectbinomial statistics-
dc.subjectoverdispersion-
dc.subjectbeta binomial test-
dc.subjectgamma-
dc.titleSensory difference testing: The problem of overdispersion and the use of beta binomial statistical analysis-
dc.typeReview-
dc.relation.issue4-
dc.relation.volume15-
dc.relation.indexSCIE-
dc.relation.indexSCOPUS-
dc.relation.indexKCI-
dc.relation.startpage494-
dc.relation.lastpage498-
dc.relation.journaltitleFOOD SCIENCE AND BIOTECHNOLOGY-
dc.identifier.wosidWOS:000240321000002-
dc.author.googleLee, Hye-Seong-
dc.author.googleO'Mahony, Michael-
dc.contributor.scopusid이혜성(7501493028)-
dc.date.modifydate20190302081000-
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엘텍공과대학 > 식품공학전공 > Journal papers
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