The Philosophy of Statistics

D. Lindley
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引用次数: 185

Abstract

This paper puts forward an overall view of statistics. It is argued that statistics is the study of uncertainty. The many demonstrations that uncertainties can only combine according to the rules of the probability calculus are summarized. The conclusion is that statistical inference is firmly based on probability alone. Progress is therefore dependent on the construction of a probability model; methods for doing this are considered. It is argued that the probabilities are personal. The roles of likelihood and exchangeability are explained. Inference is only of value if it can be used, so the extension to decision analysis, incorporating utility, is related to risk and to the use of statistics in science and law. The paper has been written in the hope that it will be intelligible to all who are interested in statistics.
统计学的哲学
本文提出了统计学的总体观点。有人认为统计学是对不确定性的研究。总结了许多不确定性只能根据概率演算规则组合的论证。结论是统计推断完全基于概率。因此,进展取决于概率模型的构建;考虑了这样做的方法。有人认为,概率是个人的。解释了可能性和互换性的作用。推断只有在被使用的情况下才有价值,因此,将效用纳入决策分析的延伸与风险以及统计学在科学和法律中的应用有关。写这篇论文是希望所有对统计学感兴趣的人都能看得懂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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