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当测量误差具有正常或逻辑分布时,危险率估计
Parviz Nasiri1, Rougheih Kheirazar1, Abbas Rasouli2
1Department of Statistics, University of Payam Noor, 19395-4697, Tehran, Iran.
Heliyon
|March 25, 2024
概括
统计数据中的测量错误会降低数据的准确性. 本研究估计了危险率函数,对于可靠性至关重要,即使从正常或逻辑分布的测量误差,使用高级的多项式估计方法.
科学领域:
- 统计 统计 统计 统计
- 可靠性工程可靠性工程
- 数据分析 数据分析
背景情况:
- 科学数据中普遍存在测量错误,影响了统计分析的准确性.
- 忽视测量错误导致分布参数估计器的适合性不佳.
- 危险率函数是可靠性分析中的关键指标.
研究的目的:
- 在存在测量错误时调查危险率函数.
- 为了解决统计建模中忽视测量错误造成的精度限制.
- 开发用于估计数据污染下危险率函数的方法.
主要方法:
- 使用局部时间多项式估计器方法来估计密度函数.
- 根据正常或后勤分布的测量误差,估计了危险率函数.
- 分析了污染程度 (15%和30%) 对估计的影响.
主要成果:
- 开发了一种准确的方法来估计危险率函数,尽管有测量错误.
- 证明了当地时间多项式估计器在处理受污染数据方面的有效性.
- 数字分析证实了拟议的估计技术的性能.
结论:
- 准确的危险率估计是可以实现的,即使在统计数据的测量错误.
- 拟议的方法提供可靠的估计可靠性标准在数据污染.
- 这项研究为各种领域的科学数据分析提供了改进的统计工具.
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