缺陷序列和强大的近似度
1Rényi Mathematical Institute, Reáltanoda u. 13-15, 1053 Budapest, Hungary.
Entropy (Basel, Switzerland)
|February 26, 2025
概括
这项研究适用于Strassen.
科学领域:
- 可能性理论概率理论.
- 统计 统计 统计 统计
背景情况:
- 强近似是证明极限定理的一个关键方法.
- 缺陷序列和条件独立序列在概率论中很重要.
研究的目的:
- 扩大强近似的应用.
- 证明具有特定依赖性的缺陷数列的极限定理.
主要方法:
- 使用强大的近似技术.
- 将方法应用于具有条件独立序列的缺陷序列.
主要成果:
- 建立了对缺陷数列的统一极限定理.
- 证明了这些数列的顺序不变极限定理.
结论:
- 强近似对于分析复杂序列是有效的.
- 这些发现有助于理解依赖设置中的极限定理.
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