Authors: Krampe, Anne
Kuhnt, Sonja
Title: Bowker's Test for Symmetry and Modifications within the Algebraic Framework
Language (ISO): en
Abstract: Categorical 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.
Subject Headings: Computational commutative algebra
Diaconis-Sturmfels algorithm
matched-pairs data
Metropolis-Hastings algorithm
Issue Date: 2005-10-12T06:58:03Z
Appears in Collections:Sonderforschungsbereich (SFB) 475

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