统计研究的哲学基础

J. Pociecha
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引用次数: 1

摘要

每一个研究者都渴望揭示研究对象的真相。然而,在进行统计研究时,科学家们往往没有更深入地思考他们选择研究的特定目的和范围或选择分析工具的动机。本文的目的是对统计研究的哲学基础进行反思。本文概述了对“统计学”一词的三种基本理解,然后对哲学关键分支中对真理概念的理解进行了综合概述,特别关注了从概率角度对真理的理解。随后,对统计学的哲学基础进行了简短的讨论,涉及决定论和非决定论,机会和混沌,演绎和归纳推理,随机性和不确定性等主题,以及信息革命对统计方法发展的影响,特别是在社会经济研究的背景下。文章最后提出了统计未来发展的关键问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Philosophical foundations of statistical research
Every researcher desires to uncover the truth about the object of the undertaken study. When conducting statistical research, however, scientists frequently give no deeper thought as to their motivation underlying the choice of the particular purpose and scope of the study, or the choice of analytical tools. The aim of this paper is to provide a reflection on the philosophical foundations of statistical research. The three basic understandings of the term ‘statistics’ are outlined, followed by a synthetic overview of the understanding of the concept of truth in the key branches of philosophy, with particular attention devoted to the understanding of truth in probabilistic terms. Subsequently, a short discussion is presented on the philosophical bases of statistics, touching upon such topics as determinism and indeterminism, chance and chaos, deductive and inductive reasoning, randomness and uncertainty, and the impact of the information revolution on the development of statistical methods, especially in the context of socio-economic research. The article concludes with the formulation of key questions regarding the future development of statistics.
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