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A Review on Heterogeneity Test: Some Permutation Procedures

  • Stefano Bonnini
  • Eleonora Carrozzo
  • Luigi SalmasoEmail author
Conference paper
Part of the Springer Proceedings in Mathematics & Statistics book series (PROMS, volume 274)

Abstract

When dealing with categorical data, generally the notion of heterogeneity may be used instead of that of variability. There are many fields where data may be only represented by nominal categorical variables or by ordinal variables, e.g. opinion polls, performance qualitative assessments, psycho aptitude tests and so on. In this paper we provide a review of some nonparametric methods concerning testing for heterogeneity, based on permutation procedures. Examples of real applications in different frameworks are also shown.

Keywords

Heterogeneity tests Permutation test Nonparametric framework 

Notes

Acknowledgements

The work was also partially supported by University of Ferrara, which funded the FIR (Research Incentive Fund) project “Advanced Statistical Methods for data analysis in complex problems”. The work was also partially supported by University of Padova BIRD185315/18.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Stefano Bonnini
    • 1
  • Eleonora Carrozzo
    • 2
  • Luigi Salmaso
    • 2
    Email author
  1. 1.Department of Economics and ManagementUniversity of FerraraFerraraItaly
  2. 2.Department of Management and EngineeringUniversity of PadovaPaduaItaly

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