Error and the growth of experimental knowledge
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.
Stats for nerds
1recommend
3mentions
2people
2014–2022years
67% recommend33% neutral
Mentions per year
What Hacker News says
- 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.
- 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...
- Thanks for the Mayo recommendation. I am currently going through her Statistical Inference as Severe 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?
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