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On the efficiency of bootstrap method into the analysis contingency table
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics, Mathematical Statistics.
2011 (English)In: Computer Methods and Programs in Biomedicine, ISSN 0169-2607, E-ISSN 1872-7565, Vol. 104, no 2, 182-187 p.Article in journal (Refereed) Published
Abstract [en]

The bootstrap method is a computer intensive statistical method that is widely used in performing nonparametric inference. Categorica ldata analysis,inparticular the analysis of contingency tables, is commonly used in applied field. This work considers nonparametric bootstrap tests for the analysis of contingency tables. There are only a few research papers which exploit this field. The p-values of tests in contingency tables are discrete and should be uniformly distributed under the null hypothesis. The results of this article show that corresponding bootstrap versions work better than the standard tests. Properties of the proposed tests are illustrated and discussed using Monte Carlo simulations. This article concludes with an analytical example that examines the performance of the proposed tests and the confidence interval of the association coefficient.

Place, publisher, year, edition, pages
2011. Vol. 104, no 2, 182-187 p.
Keyword [en]
Association coefficient, Bootstrap method, Chi-squared test, Contingency table, Monte Carlo simulation
National Category
Probability Theory and Statistics
URN: urn:nbn:se:uu:diva-158978DOI: 10.1016/j.cmpb.2011.01.007ISI: 000296945100018OAI: oai:DiVA.org:uu-158978DiVA: diva2:441926
Available from: 2011-09-19 Created: 2011-09-19 Last updated: 2011-12-14Bibliographically approved

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Publisher's full texthttp://www.sciencedirect.com/science/article/pii/S0169260711000204

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