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相关概念视频

Hazard Rate01:11

Hazard Rate

104
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
104
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

681
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
681
Variability: Analysis01:11

Variability: Analysis

142
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
142
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

517
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
517
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

46
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
46
Random Error01:04

Random Error

882
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...
882

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相关实验视频

Updated: Jun 29, 2025

An R-Based Landscape Validation of a Competing Risk Model
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基于网络和状的脆弱性分析方法.

Mengyuan Chen1, Jilan Liu1, Ning Zhang1,2

  • 1School of Finance, Central University of Finance and Economics, Beijing 102206, China.

Entropy (Basel, Switzerland)
|March 28, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的指标,Copula基于 (CE) 的网络曲率,用于衡量金融脆弱性和系统性风险. 这种创新方法比以前的方法在复杂的金融系统中评估金融安全具有显著的优势.

关键词:
复合体的缩缩.图形理论和网络分析.市场的脆弱性是市场的脆弱性.

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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation
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科学领域:

  • 金融经济学 金融经济学
  • 网络科学 网络科学
  • 定量金融是指数量金融.

背景情况:

  • 金融系统越来越多样化和开放.
  • 金融脆弱性是金融安全的一个关键指标.
  • 衡量金融脆弱性的现有方法存在局限性.

研究的目的:

  • 引入金融脆弱性的创新指标.
  • 用Copula缩来增强网络分析.
  • 为了更有效地衡量市场脆弱性和系统风险.

主要方法:

  • 网络分析 网络分析
  • 铜的变是因为的变.
  • 基于CE的网络曲率指标的开发.

主要成果:

  • 基于CE的曲率是金融脆弱性的新型指标.
  • 这种方法比传统的网络曲率分析具有显著的优势.
  • 该指标有效地衡量了市场脆弱性和系统性风险.

结论:

  • 基于CE的网络曲线为评估金融脆弱性提供了一种卓越的方法.
  • 这种方法提高了金融安全和系统风险的衡量.
  • 这些发现对于理解和管理现代金融系统中的风险至关重要.