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.
A review on heterogeneity test: some permutation procedures
Carrozzo E.;Salmaso L.
2019
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.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
