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A Comparison of Two Methods of Analyzing a Set of Multidimensional Data

dc.contributor.advisorDunnett, C.W.
dc.contributor.authorYip, Shiu-ching
dc.contributor.departmentStatisticsen_US
dc.date.accessioned2016-11-15T15:39:03Z
dc.date.available2016-11-15T15:39:03Z
dc.date.issued1976-09
dc.descriptionTitle: A Comparison of Two Methods of Analyzing a Set of Multidimensional Data, Author: Shiu-Chin Yip, Location: Thodeen_US
dc.description.abstract<p>In multivariate analysis problems, one often encounters the analysis of categorical data. Some authors prefer the analogy of such analyses with those used for quantitative data, analysis of variance and regression analysis. In most recent multivariate literature, most authors agree the use of multidimensional contingency table method. The purpose of this project is to compare the results obtained in analyzing part of the data in a psoriasis-liver-methotrexate interaction study using analysis of variance method and a method which is more appropriate for categorical data.</p>en_US
dc.description.degreeMaster of Science (MS)en_US
dc.description.degreetypeThesisen_US
dc.identifier.urihttp://hdl.handle.net/11375/20804
dc.language.isoenen_US
dc.titleA Comparison of Two Methods of Analyzing a Set of Multidimensional Dataen_US
dc.typeThesisen_US

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