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对依赖人口的二项式比例比率的对数信心估计
Angkana Kokaew1, Winai Bodhisuwan1, Su-Fen Yang2
1Department of Statistics, Faculty of Science, Kasetsart University, Bangkok, Thailand.
Journal of applied statistics
|June 1, 2023
概括
本研究引入了一种可靠的对数区间,用于估计依赖样本中两个二项式比例的比率. 蒙特卡洛模拟证实了它对于准确的统计推理的有效性.
科学领域:
- 统计 统计 统计 统计
- 生物统计学 生物统计学
- 统计推理 统计推理
背景情况:
- 在依赖样本中对二项式比例的比率的置信区间往往缺乏封闭形式的解决方案.
- 现有的方法可能在计算上很复杂,并且依赖于有偏见的估计器.
研究的目的:
- 在依赖样本中研究对两个二项式比例的比率的对数区间估计.
- 在这种情况下,评估正常近似的可靠性,以构建置信区间.
主要方法:
- 使用两个依赖样本的直接二项取样.
- 采用蒙特卡洛模拟来评估置信区间特征.
- 评估覆盖概率,间隔宽度和宽度的标准偏差.
主要成果:
- 拟议的对数间隔证明了基于模拟标准的可靠性能.
- 正常近似证明是有效的建立比率的置信区间.
结论:
- 对数区间提供了一种实用且准确的方法,用于估计依赖样本中两个二项式比例的比率.
- 提供了在统计分析中应用非对称对数区间的建议.
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