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相关概念视频

Random Error01:04

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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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Standard Deviation of Calculated Results01:14

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Standard deviation measures the spread of data around the mean value. Many large data sets follow a Gaussian distribution, also known as a normal distribution. This distribution is bell-shaped curved, with the most frequently observed value (mean or central value) in the middle. The farther away from the central value, the greater the deviation from the central value, and the lower the frequency.
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量化高斯度的偏差与飞行延迟分布的应用.

Felipe Olivares1, Massimiliano Zanin1

  • 1Instituto de Física Interdisciplinar y Sistemas Complejos (CSIC-UIB), Campus UIB, 07122 Palma, Spain.

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概括
此摘要是机器生成的。

我们介绍了一种新方法,使用詹森-香农距离来测量数据中高斯度的偏差. 对航班延误的分析揭示了显著的非高斯模式,特别是在繁忙的机场,这表明不同的空中交通管理策略.

关键词:
詹森香农的分歧.空中交通管理是空中交通管理.航班延误 航班延误非高斯分布的非高斯分布顺序的模式 顺序的模式稳定的分布是稳定的.

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科学领域:

  • 统计 统计 统计 统计
  • 数据分析 数据分析
  • 空中交通管理是指空中交通管理.

背景情况:

  • 高斯分布是数据分析中常见的假设.
  • 从高斯度的偏差,以斜率和重尾为特征,可以影响模型的准确性.
  • 了解这些偏差对于像空中交通这样的复杂系统至关重要.

研究的目的:

  • 开发一种新的方法来量化高斯度的偏差.
  • 用稳定的分布分析斜度和重尾的影响.
  • 通过真实世界的航班延误数据来验证方法.

主要方法:

  • 使用Jensen-Shannon距离来测量统计差异.
  • 采用稳定分布作为灵活的建模框架.
  • 用阶段随机化替代品作为高斯引用进行比较.
  • 用欧洲和美国航班延误数据集验证了该方法.

主要成果:

  • 在航班延误数据中显示出高斯度的显著偏差.
  • 在高流量机场发现了特别明显的偏差.
  • 在欧洲和美国之间观察到空中交通模式的系统差异.

结论:

  • 提出的詹森-香农距离方法有效量化非高斯性.
  • 航班延误与高斯假设有很大的偏差,特别是在繁忙的空域.
  • 这些发现表明,欧洲和美国的空中交通管理策略存在根本差异.