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On Resampling for the Contingency Table based on Information Energy
(English)Manuscript (preprint) (Other academic)
Abstract [en]

The bootstrap method is studied herein for the analysis of categorical data,in particular for the contin­gency table. The way to carry out atest of association is to bootstrap on the basis of expected values that havealready been ascertained by a few authors. This paper shows the theoreticalapproach of bootstrapping for a contingency table, and the idea which it isbased on has been inspired by the use of the informational energy func­tion.The properties of the proposed tests are illustrated and discussed using MonteCarlo simulations. The paper ends with analytical examples that elucidate the use ofthe proposed tests.

Keyword [en]
Bootstrap method; Chi-squared test; Contingency table; Informational energy; Monte Carlo investigation
National Category
Probability Theory and Statistics
Research subject
URN: urn:nbn:se:uu:diva-158980OAI: oai:DiVA.org:uu-158980DiVA: diva2:441929
Available from: 2011-09-19 Created: 2011-09-19 Last updated: 2011-09-25

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