Error-statistical elimination of alternative hypotheses
- Kent Staley
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I consider the error-statistical account as both a theory of evidence and as a theory of inference. I seek to show how inferences regarding the truth of hypotheses can be upheld by avoiding a certain kind of alternative hypothesis problem. In addition to the testing of assumptions behind the experimental model, I discuss the role of judgments of implausibility. A benefit of my analysis is that it reveals a continuity in the application of error-statistical assessment to low-level empirical hypotheses and highly general theoretical principles. This last point is illustrated with a brief sketch of the issues involved in the parametric framework analysis of tests of physical theories such as General Relativity and of fundamental physical principles such as the Einstein Equivalence Principle.
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- Error-statistical elimination of alternative hypotheses
Volume 163, Issue 3 , pp 397-408
- Cover Date
- Print ISSN
- Online ISSN
- Springer Netherlands
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- Alternative hypothesis
- Equivalence principle
- Parametric framework
- Industry Sectors
- Kent Staley (1)
- Author Affiliations
- 1. Department of Philosophy, Saint Louis University, 3800 Lindell Blvd., St. Louis, MO, 63108, USA