误差与实验知识的增长
Error and the growth of experimental knowledge
Deborah G. Mayo · 初版 1996 年
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本书批判了统计推断中的主观 Bayesian 观点，并提出了作者自己的 error-statistical 方法，以此作为实验认识论的替代框架。本书旨在满足从事统计分析研究人员的需求。
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Error and the growth of experimental knowledge
Deborah G. Mayo · 初版 1996 年
本书批判了统计推断中的主观 Bayesian 观点，并提出了作者自己的 error-statistical 方法，以此作为实验认识论的替代框架。本书旨在满足从事统计分析研究人员的需求。
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作为对纯贝叶斯推理（Bayesian reasoning）的补充，我推荐 Mayo 的《Error and the Growth of Experimental Knowledge》。http://www.amazon.com/Experimental-Knowledge-Science-Concept...
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...
关于贝叶斯信念系统我手头没什么推荐的资料。我确实很喜欢 Deborah Mayo 的《Error and the Growth of Experimental Knowledge》，但那本书读起来有点劝退。我承认我自己也还没读完。
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.
……Testing，感觉读起来非常累。到目前为止，几乎没什么关于实际统计学和争论实质核心的内容，全是在讲元问题（meta questions）以及各执一词的口水仗。也许她之前那本《Error and the Growth of Experimental Knowledge》对这些观点的阐述更好一些？
…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?