Distance-based ANOVA for functional data
by Alexandre Homsi Pedott; Flávio Sanson Fogliatto
European J. of Industrial Engineering (EJIE), Vol. 10, No. 6, 2016

Abstract: We present a method for functional data analysis of variance. Functional data occur when response variables outcomes are a collection of points rather than single values, being usually represented as a profile or curve. The proposed method is an adaptation of the two-way analysis of variance. We used a Euclidean distance as proximity measure between profiles. The method was applied to a simulated gage study based on real industrial data. Results were compared to those obtained using a method available in the literature; in several situations the later led to wrong conclusions about the gage system while the proposed method performed the analysis correctly. [Received 7 May 2014; Revised 25 May 2016; Accepted 27 May 2016]

Online publication date: Thu, 15-Dec-2016

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