Abstract
In this work, functional versions of Mandels’s h and k statistics for outlier laboratory detection in interlaboratory studies (ILS) are presented. The critical values of h and k outlier test are approximated using bootstrap resampling, and their characteristic graphics are obtained. Thermogravimetric data are simulated to study the performance of the proposed d H and d K functional test statistics.
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Flores, M., Naya, S., Tarrío-Saavedra, J., Fernández-Casal, R. (2017). Functional data analysis approach of Mandel’s h and k statistics in Interlaboratory Studies. In: Aneiros, G., G. Bongiorno, E., Cao, R., Vieu, P. (eds) Functional Statistics and Related Fields. Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-55846-2_16
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DOI: https://doi.org/10.1007/978-3-319-55846-2_16
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