Automatic regrouping of strata in the goodness-of-fit chi-square test

Vidal-Meliá, Carlos Ventura-Marco, Manuel Regúlez-Castillo, Marta Pérez-Salamero, Juan Manuel Núñez-Antón, Vicente

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Automatic regrouping of strata in the goodness-of-fit chi-square test - RP:3411

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https://hdl.handle.net/20.500.11797/RP3411

Autor/es de la URV:	Vidal-Meliá, Carlos Ventura-Marco, Manuel Regúlez-Castillo, Marta Pérez-Salamero, Juan Manuel Núñez-Antón, Vicente
Año de publicación de la revista:	2019

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Descripción:	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.
Cobertura:	eng
Títol:	Automatic regrouping of strata in the goodness-of-fit chi-square test
Materia:	Goodness-of-fit chi-square test, statistical software, Visual Basic for Applications, Mathematica, Continuous Sample of Working Lives
Formato:	application/pdf
Autor:	Vidal-Meliá, Carlos Ventura-Marco, Manuel Regúlez-Castillo, Marta Pérez-Salamero, Juan Manuel Núñez-Antón, Vicente
Tipo:	SORT:ART info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article
Fecha:	2019
Editor:	Universitat Rovira i Virgili Universitat de Lleida Universitat de Girona Universitat Pompeu Fabra Universitat Politècnica de Catalunya Universitat Autònoma de Barcelona Universitat de Barcelona Institut d'Estadística de Catalunya

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