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Updated: May 17, 2025

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences

Published on: September 4, 2019

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在强大的回归中对异常值的比例的引导式估计

Qiang Heng1, Kenneth Lange2

  • 1School of Mathematics, Southeast University, Nanjing, China.

Statistics and computing
|May 15, 2025
PubMed
概括

本研究引入了一种用于强大的回归的新引导方法,准确估计内向和外向比例,而不需要置信度. 该方法增强了异常值的检测,并提供了对数据分布的图形洞察.

关键词:
在 Bootstrap 中使用 Bootstrap.一般化的线性模型.异常价值观 异常价值观是指异常价值观.坚固性 坚固性稳定的稳定性 稳定的稳定性统计的深度 统计深度变量稳定转换变化的变量稳定.

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