Error and the growth of experimental knowledge
by Deborah G. Mayo · first published 1996
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2014–2022first – last mentioned
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This text provides a critique of the subjective Bayesian view of statistical inference, and proposes the author's own error-statistical approach as an alternative framework for the epistemology of experiment. It seeks to address the needs of researchers who work with statistical analysis.
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As a complement to pure Bayesian reasoning, I recommend Mayo's "Error and the Growth of Experimental Knowledge". http://www.amazon.com/Experimental-Knowledge-Science-Concept...
on “P values are not as reliable as many scientists assume” ↗I don't have resources for Bayesian systems of belief. I do like Error and the Growth of Experimental Knowledge by Deborah Mayo, but the book is a bit intimidating. I admit I haven’t finished reading it, either.
on “The Forgotten Solution: Superdeterminism” ↗…Testing, and find it very tiring. So far very little is about actual statistics and the meat of disputes, but rather about meta questions and the he-said, she-said of those disputes. Maybe the prior book Error and the Growth of Experimental Knowledge is a better exposition of the ideas?
on ““Science must respect the dignity and rights of all humans”” ↗