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Automatic regrouping of strata in the Goodness-of-Fit chi-square test

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Automatic regrouping of strata in the Goodness-of-Fit chi-square test

dc.contributor.author	Nuñez Antón, Vicente
dc.contributor.author	Pérez-Salamero González, Juan Manuel
dc.contributor.author	egúlez Castillo, Marta
dc.contributor.author	Ventura Marco, Manuel
dc.contributor.author	Vidal Meliá, Carlos
dc.date.accessioned	2019-11-06T11:28:28Z
dc.date.available	2019-11-06T11:28:28Z
dc.date.issued	2019
dc.identifier.citation	Nuñez Antón, Vicente Pérez-Salamero González, Juan Manuel egúlez Castillo, Marta Ventura Marco, Manuel Vidal Meliá, Carlos 2019 Automatic regrouping of strata in the Goodness-of-Fit chi-square test Sort-Statistics And Operations Research Transactions 43 1 113 142
dc.identifier.uri	https://hdl.handle.net/10550/72036
dc.description.abstract	Pearson's chi-square test is widely employed in social and health sciences to analyse categorical data and contingency tables. For the test to be valid, the sample size must be large enough to provide a minimum number of expected elements per category. This paper develops functions for regrouping strata automatically, thus enabling the goodness-of-fit test to be performed within an iterative procedure. The usefulness and performance of these functions is illustrated by means of a simulation study and the application to different datasets. Finally, the iterative use of the functions is applied to the Continuous Sample of Working Lives, a dataset that has been used in a considerable number of studies, especially on labour economics and the Spanish public pension system.
dc.language.iso	eng
dc.relation.ispartof	Sort-Statistics And Operations Research Transactions, 2019, vol. 43, num. 1, p. 113-142
dc.subject	Economia
dc.subject	Finances
dc.title	Automatic regrouping of strata in the Goodness-of-Fit chi-square test
dc.type	journal article	es_ES
dc.date.updated	2019-11-06T11:28:29Z
dc.identifier.doi	10.2436/20.8080.02.83
dc.identifier.idgrec	135025
dc.rights.accessRights	open access	es_ES