ABSTRACT. This paper aimed to compare the performance of multivariate GR&R (gage repeatability and reproducibility) studies based on PCA (principal component analysis) and Manova (multivariate analysis of variance) methods. To estimate the multivariate gauge index, geometric and arithmetic means have been implemented with and without weighting strategies. Bootstrap confidence interval based on BC a (bias-corrected and accelerated) method has been adopted to determine multivariate gauge index adequacy. This confidence interval was calculated for the mean of univariate gauge indices estimated from each quality characteristic. The result analyses have shown that weighted approaches provided the best estimates of gauge index in multivariate GR&R studies.Keywords: measurement system analysis, repeatability and reproducibility, multivariate analysis of variance, principal component analysis. Comparações de métodos GR&R multivariados usando intervalo de confiança bootstrap RESUMO. Este artigo teve objetivo de comparar o desempenho de estudos GR&R (gage repeatability and reproducibility) multivariados baseados nos métodos PCA (principal component analysis) e Manova (multivariate analysis of variance).As médias aritmética e geométrica com e sem ponderação foram implementadas para estimar os índices de medição multivariados. Para determinar a adequação dos índices de medição multivariados, foi adotado o intervalo de confiança bootstrap BCa (bias-corrected and accelerated). Esse intervalo de confiança foi calculado para a média dos índices de medição univariados estimados de cada característica da qualidade. As análises dos resultados mostraram que as abordagens ponderadas apresentaram melhores estimativas dos índices de avaliação em estudos GR&R com múltiplas variáveis.Palavras-chave: análise de sistemas de medição, repetitividade e reprodutividade, análise multivariada de variância, análise de componentes principais.
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