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.File in questo prodotto:
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