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

Summary: [This abstract is based on the authors' abstract.] 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 models with functional responses. These Cook's distance measures include Cook's distances for deleting multiple curves and for deleting multiple grid points, and their scaled Cook's distances. This article systematically investigates 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 diagnostic measures.

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  • Topics: Statistical Process Control (SPC)
  • Keywords: Cook's distance, Relative magnitudes and signs of coefficients, Diagnostics, Biomedical
  • Author: Gao, Qibing; Ahn, Mihye; Zhu, Hongtu
  • Journal: Technometrics