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The Case Sensitivity Function Approach to Diagnostic and Robust Computation: A Relaxation Strategy

Frank Critchley (), Michael Schyns, Gentiane Haesbroeck, David Kinns, Richard A. Atkinson and Guobing Lu
Additional contact information
Frank Critchley: The Open University
Michael Schyns: University of Namur
Gentiane Haesbroeck: University of Liège
David Kinns: University of Birmingham
Richard A. Atkinson: University of Birmingham
Guobing Lu: University of Bristol

A chapter in COMPSTAT 2004 — Proceedings in Computational Statistics, 2004, pp 113-125 from Springer

Abstract: Abstract The present paper focuses on the case sensitivity function approach to diagnostics and robustness that are combinatorial by definition and hard to solve exactly. Attention is also given to the visual displays.

Keywords: Combinatorial optimisation; convexity; diagnostics; Euclidean geometry; masking; multiple case effects; relaxation; robustness (search for similar items in EconPapers)
Date: 2004
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2656-2_8

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DOI: 10.1007/978-3-7908-2656-2_8

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