We present in this talk a local non-parametric technique for making inference on multiple aspects of functional data simultaneously. The technique provides adjusted multi-aspect p-value functions that can be used to select intervals of the domain imputable for the rejection of a null hypothesis. We show the application of the proposed technique to the functional data analysis of a data set of tongue profiles recorded for a study on Tyrolean, a German dialect spoken in South Tyrol.

Permutation methods for multi-aspect local inference on functional data

A. Pini;S. Vantini;
2017-01-01

Abstract

We present in this talk a local non-parametric technique for making inference on multiple aspects of functional data simultaneously. The technique provides adjusted multi-aspect p-value functions that can be used to select intervals of the domain imputable for the rejection of a null hypothesis. We show the application of the proposed technique to the functional data analysis of a data set of tongue profiles recorded for a study on Tyrolean, a German dialect spoken in South Tyrol.
2017
Cladag 2017 Meeting of the Classification and Data Analysis Group Book of Short Papers
978-88-99459-71-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1036109
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