Strategies for securing evidence through model criticism
 Kent W. Staley
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Some accounts of evidence regard it as an objective relationship holding between data and hypotheses, perhaps mediated by a testing procedure. Mayo’s errorstatistical theory of evidence is an example of such an approach. Such a view leaves open the question of when an epistemic agent is justified in drawing an inference from such data to a hypothesis. Using Mayo’s account as an illustration, I propose a framework for addressing the justification question via a relativized notion, which I designate security, meant to conceptualize practices aimed at the justification of inferences from evidence. I then show how the notion of security can be put to use by showing how two quite different theoretical approaches to model criticism in statistics can both be viewed as strategies for securing claims about statistical evidence.
Inside
Within this Article
 Introduction
 From NP to ES: reliability, evidence, and methodology
 Security in the justification of evidence claims
 Security through robust statistics
 Security through misspecification testing
 Conclusion
 Funding
 References
 References
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 Title
 Strategies for securing evidence through model criticism
 Journal

European Journal for Philosophy of Science
Volume 2, Issue 1 , pp 2143
 Cover Date
 20120101
 DOI
 10.1007/s131940110022x
 Print ISSN
 18794912
 Online ISSN
 18794920
 Publisher
 Springer Netherlands
 Additional Links
 Topics
 Keywords

 Evidence
 Statistics
 Robustness
 Misspecification testing
 Errorstatistics
 Justification
 Security
 Statistical models
 Authors

 Kent W. Staley ^{(1)}
 Author Affiliations

 1. Department of Philosopy, Saint Louis University, 3800 Lindell Blvd, St. Louis, MO, 63108, USA