Bowker's Test for Symmetry and Modifications within the Algebraic Framework

dc.contributor.authorKrampe, Anne
dc.contributor.authorKuhnt, Sonja
dc.date.accessioned2005-10-12T06:58:03Z
dc.date.available2005-10-12T06:58:03Z
dc.date.issued2005-10-12T06:58:03Z
dc.description.abstractCategorical data occur in a wide range of statistical applications. If the data are observed in matched pairs, it is often of interest to examine the di®erences between the responses. We concentrate on tests of axial symmetry in two-way tables. A commonly used procedure is the Bowker test which is a generalization of the McNemar test. The test decision is based on a X²-approximation which might not be adequate, for example if the table is sparse. Therefore modifications of the test statistic have been proposed. We suggest a test of symmetry based on Bowker's test and Markov Chain Monte Carlo methods following the algorithm of Diaconis and Sturmfels (1998). We carry out a simulation study to determine and compare the performance of the simulation test, the Bowker test and two modifications.en
dc.format.extent620383 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/2003/21649
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-14477
dc.language.isoen
dc.subjectComputational commutative algebraen
dc.subjectDiaconis-Sturmfels algorithmen
dc.subjectmatched-pairs dataen
dc.subjectMCMCen
dc.subjectMetropolis-Hastings algorithmen
dc.subject.ddc004
dc.titleBowker's Test for Symmetry and Modifications within the Algebraic Frameworken
dc.typeText
dc.type.publicationtypereporten
dcterms.accessRightsopen access

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