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综述:统计分布的构建
Kai-Tai Fang1,2, Yu-Xuan Lin1,3, Yu-Hui Deng1,3
1Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science (IRADS), Beijing Normal-Hong Kong Baptist University, 2000 Jintong Road, Tangjiawan, Zhuhai 519087, China.
Entropy (Basel, Switzerland)
|December 24, 2025
概括
本综述探讨了构建概率分布的方法,涵盖传统和先进的技术. 它强调了合理论如何为灵活的统计建模提供复杂的元分布.
科学领域:
- 统计 统计 统计 统计
- 可能性理论概率理论.
背景情况:
- 统计模型严重依赖于概率分布.
- 分布可以是离散的或连续的,和单变量或多变量.
研究的目的:
- 审查构建概率分布的方法.
- 涵盖传统和新开发的方法.
- 讨论配理论在创造元分布中的作用.
主要方法:
- 检查经典的单变分布 (正常,指数,马,β).
- 复习经典的多变量分布 (多变量正常,圆,迪里克莱特).
- 讨论使用合理论构建的元分布.
主要成果:
- 传统分布为统计分析提供了基础工具.
- 理论为构建复杂,灵活的分布提供了先进的方法.
- 超分发解决了对增强模拟能力的需求.
结论:
- 对分布结构的全面理解对于统计建模至关重要.
- 方法的进步,特别是偶理论,扩大了建模灵活性.
- 该审查提供了对既定和新兴配电施工技术的见解.
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