Residuals for Two-Way Contingency Tables, Especially Those Computed forMultiresponces

  • Guillermo Bali Ch.
  • Dariusz Czerski
  • Mieczysław A. Kłopotek
  • Andrzej Matuszewski
Part of the Advances in Soft Computing book series (AINSC, volume 35)


The problem of testing statistical hypotheses of independence of two multiresponse variables is considered. This is a specific inferential environment to analyze certain patterns, particularly for the questionnaire data. Data analyst normally looks for certain combination of responses being more frequently chosen by responders than the other ones. A formalism that is adequate for the considerations of such a kind is connected with calculation of p-values within the so-called posthoc analysis. Since this analysis is often connected with one cell of an appropriate contingency table only, we consider residual (or deviate) of this cell. As a result of theoretical and experimental study we consider algorithms that can be effective for the problem. We consider the case of 2 × 3 tables. Some aspects are relevant also for classical i.e. uniresponsive contingency tables.


Contingency Table Central Limit Theorem Data Analyst Intelligent Information Posthoc Analysis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer 2006

Authors and Affiliations

  • Guillermo Bali Ch.
    • 1
  • Dariusz Czerski
    • 2
  • Mieczysław A. Kłopotek
    • 2
  • Andrzej Matuszewski
    • 2
  1. 1.CDI – National Commission for the Indigenous Peoples DevelopmentMexico
  2. 2.Institute of Computer SciencePolish Academy of SciencesWarszawaPoland

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