Cook’s Distance Measures for Varying Coefficient Models With Functional Responses

The aim of this article is to develop Cook’s distance measures for assessing the influence of both atypical curves and observations under varying coefficient model with functional responses. Our Cook’s distance measures include Cook’s distances for deleting multiple curves and for deleting multiple...

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Hauptverfasser:	Mihye Ahn, Hongtu Zhu, Qibing Gao
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Sprache:	eng
Schlagworte:	Biochemistry Biological Sciences Biophysics Earth and Environmental Sciences Engineering FOS: Mathematics Mathematics Medicine Neuroscience Science Policy
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creator	Mihye Ahn Hongtu Zhu Qibing Gao
description	The aim of this article is to develop Cook’s distance measures for assessing the influence of both atypical curves and observations under varying coefficient model with functional responses. Our Cook’s distance measures include Cook’s distances for deleting multiple curves and for deleting multiple grid points, and their scaled Cook’s distances. We systematically investigate some theoretical properties of these diagnostic measures. Simulation studies are conducted to evaluate the finite sample properties of these Cook’s distances under different scenarios. A real diffusion tensor tract dataset is analyzed to illustrate the use of our diagnostic measures.
doi_str_mv	10.6084/m9.figshare.1481265
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identifier	DOI: 10.6084/m9.figshare.1481265
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subjects	Biochemistry Biological Sciences Biophysics Earth and Environmental Sciences Engineering FOS: Mathematics Mathematics Medicine Neuroscience Science Policy
title	Cook’s Distance Measures for Varying Coefficient Models With Functional Responses
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