Optimal Weights of Evidence with Bounded Influence

S. Morgenthaler () and R. Staudte ()
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S. Morgenthaler: Swiss Federal Institute of Technology
R. Staudte: LaTrobe University

A chapter in Developments in Robust Statistics, 2003, pp 259-265 from Springer

Abstract: Summary A fundamental statistical problem is to indicate which of two hypotheses is better supported by the data. Statistics designed for this purpose are called weights of evidence. In this paper we study the problem of robust weights of evidence, optimal in their performance while robust in the infinitesimal sense of the influence function.

Keywords: Statistical evidence; Null hypothesis; Alternative hypothesis; Influence function (search for similar items in EconPapers)
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-57338-5_22

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DOI: 10.1007/978-3-642-57338-5_22

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