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相关概念视频

Decision Making: P-value Method01:09

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
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Expected Value01:15

Expected Value

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The expected value is known as the "long-term" average or mean. This means that over the long term of experimenting over and over, you would expect this average. The expected average is represented by the symbol μ. It is calculated as follows:
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Equity Theory01:26

Equity Theory

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Equity theory explains how our sense of fairness influences the dynamics of close relationships. Rooted in social psychology, the theory posits that individuals evaluate fairness by comparing the ratio of their contributions to the rewards they receive. Relationship satisfaction is highest when these ratios are perceived as balanced between partners, promoting mutual reciprocity and a sense of justice.Equity vs. Equality in RelationshipsEquity is distinct from equality. Fairness does not...
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What are Estimates?01:06

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It isn't easy to measure a parameter such as the mean height or the mean weight of a population. So, we draw samples from the population and calculate the mean height or mean weight of the individuals in the sample. This sample data acts as a representative measure of the population parameter. These sample statistics are known as estimates. 
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On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
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一个框架来估计威的价值.

Richard S John1, Robin Dillon2, William Burns3

  • 1University of Southern California, Los Angeles, California, USA.

International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA 2019) Charleston, SC, April 28-May 3, 2019. International Topical Meeting on Probabilistic Safety Assessment and Analysis (2019 : Charleston, S.C.)
|September 8, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一个框架,以量化对适应性对手的安全对策的威价值. 它将对抗措施的效用分为减少威胁,减少脆弱性和减轻后果,以便更好地进行利益成本分析.

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科学领域:

  • 决策分析 决策分析
  • 风险管理 风险管理
  • 安全研究 安全研究

背景情况:

  • 评估安全对策的有效性是复杂的,特别是对抗适应性对手.
  • 现有的效益成本分析往往难以量化威的价值.
  • 适应性对手对传统的安全模型构成独特的挑战.

研究的目的:

  • 制定一个框架来计算安全反制措施所提供的威价值.
  • 将对策的实用性分为不同的组成部分:威胁降低,脆弱性降低和后果减轻.
  • 提供一种将威价值纳入效益成本分析的方法.

主要方法:

  • 防御者-攻击者决策树的调整.
  • 应用决策分析原则来计算不完善控制的预期效用 (EUIC).
  • 使用减法逻辑,将EUIC分为来自威胁减少,脆弱性减少和后果减轻的独特贡献.

主要成果:

  • 该框架成功地将反制措施的实用性分为三个关键组成部分.
  • 不完善控制的预期效用 (EUIC) 量化了实施对策的净收益.
  • 在机场安全背景下证明了威价值框架的应用.

结论:

  • 拟议的框架提供了一个强大的方法论,用于在安全效益成本分析中明确考虑威.
  • 这种方法可以更全面地评估对抗适应性威胁的反制措施的有效性.
  • 量化威价值有助于优化安全投资和资源分配.