了解数据不确定性的理解
Alisa Bokulich1, Wendy S Parker2
1Department of Philosophy, Boston University, United States.
Studies in history and philosophy of science
|July 2, 2025
概括
科学数据的完整性需要不确定性估计. 本研究提出了关于不确定性估计的五个哲学论点,强调其适合评估科学数据质量的目的.
科学领域:
- 科学哲学的哲学科学哲学
- 计量学 计量学 计量学
- 数据科学数据科学数据科学
背景情况:
- 没有不确定性估计,科学数据通常被认为是不完整的.
- 数据哲学在很大程度上忽视了不确定性估计的性质和重要性.
- 计量学现有实践为更广泛的科学数据不确定性估计提供了基础.
研究的目的:
- 为一般科学数据调整计量学不确定性估计概念.
- 提出关于数据中不确定性估计的性质和作用的五个哲学论点.
- 引入一个新的"适合目的"框架来评估不确定性估计.
主要方法:
- 测量学中不确定性估计的概念分析.
- 为更广泛的科学数据调整计量实践.
- 关于数据不确定性的五个哲学论点的开发和说明.
- 使用GISTEMP全球温度数据集的案例研究.
主要成果:
- 不确定性估计是实质性的,可错误的,可以反复改进的认识系统产品.
- 不确定性估计的适用性对于判断数据的适用性至关重要.
- GISTEMP数据集作为一个例子来说明提出的论文.
- 介绍了一种对不确定性估计的新"适合目的"观点.
结论:
- 不确定性估计对于科学数据的完整性和评估至关重要.
- 拟议的哲学框架增强了对数据质量和可靠性的理解.
- 这项研究为测量学中的安全与精度辩论提供了新的视角.
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