在简单的随机抽样下,使用两个辅助变量进行有限人口变异的增强估计器
Sohaib Ahmad1, Nitesh Kumar Adichwal2, Muhammad Aamir1
1Department of Statistics, Abdul Wali Khan University Mardan, Mardan, Pakistan.
Scientific reports
|December 5, 2023
概括
这项研究引入了使用两个辅助变量的有限种群变异的改进估计器. 与现有方法相比,新的估计器显示出更高的效率和最小的平均平方误差.
科学领域:
- 统计 统计 统计 统计
- 调查方法 调查方法
背景情况:
- 在统计分析中,准确估计有限种群变异是非常重要的.
- 当前的估计器在处理复杂数据集时可能缺乏效率.
研究的目的:
- 提出一个新的,改进的估计器为有限的人口变异.
- 通过结合两个辅助变量来提高估计效率.
主要方法:
- 偏差和平均平方误差表达式的导出,直至第一顺序近似.
- 通过使用四个真实数据集进行数值研究进行评估.
- 通过模拟研究进行验证.
主要成果:
- 拟议的估计器实现了最小平均平方误差.
- 证明比所有现有的估计器相对效率的百分比更高.
- 在理论和数值分析上都超过了现有的估计器.
结论:
- 新的估计器显著提高了有限种群差异估计的效率.
- 使用辅助变量对于增强统计估计来说实际上是有价值的.
- 研究结果表明,在这个领域有广泛应用和进一步研究的潜力.
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