Experimental Practice and an Error Statistical Account of Evidence

@article{Mayo2000ExperimentalPA,
  title={Experimental Practice and an Error Statistical Account of Evidence},
  author={Deborah G. Mayo},
  journal={Philosophy of Science},
  year={2000},
  volume={67},
  pages={S193 - S207}
}
  • D. Mayo
  • Published 1 September 2000
  • Philosophy
  • Philosophy of Science
In seeking general accounts of evidence, confirmation, or inference, philosophers have looked to logical relationships between evidence and hypotheses. Such logics of evidential relationship, whether hypothetico-deductive, Bayesian, or instantiationist fail to capture or be relevant to scientific practice. They require information that scientists do not generally have (e.g., an exhaustive set of hypotheses), while lacking slots within which to include considerations to which scientists… 
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References

SHOWING 1-10 OF 12 REFERENCES
Data, Phenomena, and Reliability
TLDR
It is argued that evidential relationships in the context of data-to-phenomena reasoning are empirical relationships that depend on holding the right sort of pattern of counterfactual dependence between the data and the conclusions investigators reach on the phenomena themselves.
Representing and Intervening: Introductory Topics in the Philosophy of Natural Science
Analytical table of contents Preface Introduction: rationality Part I. Representing: 1. What is scientific realism? 2. Building and causing 3. Positivism 4. Pragmatism 5. Incommensurability 6.
The foundations of statistical inference : a discussion
Author(s): L. J. Savage, George Barnard, Jerome Cornfield, Irwin Bross, George E. P. Box, I. J. Good, D. V. Lindley, C. W. Clunies-Ross, John W. Pratt, Howard Levene, Thomas Goldman, A. P. Dempster,
Fundamentals of Interferometric Gravitational Wave Detectors
The search for gravitational waves the nature of gravitational waves sources of gravitational waves linear systems, signals and noise optical readout noise folded interferometer arms thermal noise
Principles of Inference and Their Consequences
TLDR
This paper argues that if inference is by way of Bayes’ theorem, then two data sets license different inferences or hypotheses if they register differences in the error probabilistic properties of the methods.
Theory Testing, Statistical Methodology and the Growth of Experimental Knowledge
  • the Proceedings of the International Congress for Logic, Methodology, and Philosophy of Science
  • 1996
Experimental Practice and the Reliable Detection of Errors
  • 1999
...
...