sensitivity test

简明释义

灵敏度试验

英英释义

例句

1.Before starting the new marketing campaign, we conducted a sensitivity test to see how changes in pricing would affect sales.

在启动新的营销活动之前，我们进行了一个敏感性测试，以查看价格变化将如何影响销售。

2.The doctor recommended a sensitivity test to determine if the patient is allergic to any medications.

医生建议进行一个敏感性测试以确定患者是否对任何药物过敏。

3.The engineer performed a sensitivity test on the software to identify which parameters had the most impact on performance.

工程师对软件进行了敏感性测试，以识别哪些参数对性能影响最大。

4.The financial analyst used a sensitivity test to evaluate how different interest rates could affect the company's profits.

金融分析师使用敏感性测试来评估不同利率可能对公司利润的影响。

5.In environmental studies, a sensitivity test can help assess the impact of pollutants on local wildlife.

在环境研究中，敏感性测试可以帮助评估污染物对当地野生动物的影响。

作文

In the field of research and data analysis, the term sensitivity test refers to a method used to determine how different values of an independent variable affect a particular dependent variable under a given set of assumptions. This process is crucial in various disciplines, including economics, engineering, and environmental science, as it helps researchers understand the robustness of their models and the reliability of their predictions. The sensitivity test (灵敏度测试) essentially examines how sensitive the outcomes of a model are to changes in input parameters, allowing analysts to identify which factors have the most significant impact on the results.For instance, consider a financial model predicting the future earnings of a company based on several key variables such as sales growth rate, operating margin, and tax rate. By conducting a sensitivity test (灵敏度测试), analysts can manipulate these variables one at a time to observe how changes affect the projected earnings. If a small change in the sales growth rate leads to a substantial difference in the earnings forecast, it indicates that this variable is particularly sensitive and should be monitored closely. Conversely, if changes in the tax rate result in minimal variations in the earnings projection, it suggests that this factor may not be as critical to the model's overall accuracy.The importance of sensitivity tests (灵敏度测试) extends beyond just financial modeling. In environmental studies, for example, researchers might use sensitivity tests (灵敏度测试) to assess how changes in pollutant levels could affect ecosystem health. By understanding these relationships, policymakers can make more informed decisions about regulations and interventions needed to protect the environment.Moreover, sensitivity tests (灵敏度测试) can also play a vital role in risk assessment. Organizations often face uncertainties in their operations, and by applying sensitivity tests (灵敏度测试), they can evaluate how various risks could impact their objectives. For example, a manufacturing company might analyze how fluctuations in raw material prices could influence production costs and profitability. By identifying the most sensitive areas, companies can develop strategies to mitigate potential risks and enhance their resilience.In conclusion, the concept of sensitivity test (灵敏度测试) is a fundamental tool in the realm of data analysis and modeling. It provides valuable insights into the dynamics of different variables and their interplay within a system. Whether in finance, environmental science, or risk management, sensitivity tests (灵敏度测试) enable researchers and decision-makers to make more informed choices based on a clearer understanding of how changes in one aspect of a model can lead to varying outcomes. As we continue to navigate an increasingly complex world, the ability to conduct effective sensitivity tests (灵敏度测试) will remain essential for ensuring the reliability and validity of our analyses and predictions.

在研究和数据分析领域，术语灵敏度测试指的是一种方法，用于确定独立变量的不同值如何在给定的一组假设下影响特定的因变量。这个过程在经济学、工程学和环境科学等多个学科中至关重要，因为它帮助研究人员理解他们模型的稳健性和预测的可靠性。灵敏度测试（sensitivity test）本质上检查模型的结果对输入参数变化的敏感程度，使分析师能够识别出哪些因素对结果有最显著的影响。例如，考虑一个基于几个关键变量（如销售增长率、营业利润率和税率）预测公司未来收益的财务模型。通过进行灵敏度测试（sensitivity test），分析师可以逐一操纵这些变量，以观察变化如何影响预期收益。如果销售增长率的微小变化导致收益预测的重大差异，这表明该变量特别敏感，应当密切监测。相反，如果税率的变化对收益预测结果几乎没有影响，这表明该因素对模型整体准确性可能并不那么关键。灵敏度测试（sensitivity test）的重要性不仅限于财务建模。在环境研究中，例如，研究人员可能会使用灵敏度测试（sensitivity test）来评估污染物水平的变化可能对生态系统健康产生的影响。通过理解这些关系，决策者可以更明智地做出关于保护环境所需的法规和干预措施的决定。此外，灵敏度测试（sensitivity test）在风险评估中也发挥着至关重要的作用。组织往往面临操作中的不确定性，通过应用灵敏度测试（sensitivity test），他们可以评估各种风险可能对其目标产生的影响。例如，一家制造公司可能会分析原材料价格波动如何影响生产成本和盈利能力。通过识别出最敏感的领域，公司可以制定策略来减轻潜在风险并增强其韧性。总之，灵敏度测试（sensitivity test）的概念是数据分析和建模领域的基本工具。它提供了有关不同变量之间动态关系的宝贵见解。无论是在金融、环境科学还是风险管理中，灵敏度测试（sensitivity test）使研究人员和决策者能够根据对模型中一个方面变化如何导致不同结果的更清晰理解，做出更明智的选择。随着我们继续在日益复杂的世界中航行，进行有效的灵敏度测试（sensitivity test）的能力将继续对确保我们分析和预测的可靠性和有效性至关重要。