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相关概念视频

Variability: Analysis01:11

Variability: Analysis

125
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...
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Econometric Views (EViews)01:29

Econometric Views (EViews)

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Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
111
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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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...
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Relative Risk01:12

Relative Risk

116
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
116
Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

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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...
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Empirical Method to Interpret Standard Deviation01:09

Empirical Method to Interpret Standard Deviation

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The empirical rule, also known as the three-sigma rule, allows a statistician to interpret the standard deviation in a normally distributed dataset. The rule states that 68% of the data lies within one standard deviation from the mean, 95% lies within two standard deviations from the mean, and 99.7% lies within three standard deviations from the mean. Additionally, this rule is also called the 68-95-99.7 rule.
This rule is used widely in statistics to calculate the proportion of data values...
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相关实验视频

Updated: May 31, 2025

A Protocol for Using Gene Set Enrichment Analysis to Identify the Appropriate Animal Model for Translational Research
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衡量RCEP股票市场风险溢出效应:TVP-VAR模型和转移的证据

Yijiang Zou1, Qinghua Chen2, Jihui Han3

  • 1School of Economics, Anyang Normal University, Anyang 455008, China.

Entropy (Basel, Switzerland)
|January 24, 2025
PubMed
概括
此摘要是机器生成的。

区域全面经济伙伴关系 (RCEP) 协议增加了成员国之间股票市场的相互联系. 中国是一个净风险接受者,容易受到来自日本和韩国等发达RCEP市场的冲击.

关键词:
在RCEP股票市场上.这是一个TVP-VAR模型.风险的溢出效应是风险的溢出效应.转移是转移的一种.

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科学领域:

  • * 金融经济学 金融经济学
  • * * 国际贸易国际贸易
  • * 计量经济学 计量经济学

背景情况:

  • * 区域全面经济伙伴关系 (RCEP) 旨在促进成员国之间的经济一体化.
  • *了解股票市场的相互依存性和波动性溢出效应对于金融稳定至关重要.
  • *以前的研究还没有完全捕捉到RCEP框架内这些溢出效应的动态性质.

研究的目的:

  • * 量化RCEP成员股票市场之间随时间变化的波动性溢出效应.
  • * 评估RCEP协议对股票市场互联性的影响.
  • * 确定RCEP股票市场网络中的关键风险发射器和接收器.

主要方法:

  • *利用RCEP成员国的每日股市交易数据 (2007年12月3日-2024年12月9日).
  • *采用了时间变化的参数向量自回归 (TVP-VAR) 模型.
  • * 应用转移来测量动态波动的溢出效应.

主要成果:

  • * RCEP协议显著加强了成员国之间的股票市场互联.
  • *整体波动性溢出效应显示上升趋势,在金融动荡期间加剧.
  • *中国成为净风险接受者,而日本和韩国是净风险贡献者.
  • *中国和其他RCEP市场之间的双向风险溢出效应的显著变化与RCEP签署和实施有关.

结论:

  • * RCEP的实施导致了区域股票市场的系统性风险和相互联系的增加.
  • *中国的股票市场表现出脆弱性,容易受到来自发达RCEP经济体的外部冲击.
  • *政策制定者应该考虑这些动态风险溢出效应对区域金融稳定.