rate error

简明释义

速率误差

英英释义

例句

1.The system reported a rate error when processing the data, indicating a discrepancy in the expected output.

系统在处理数据时报告了一个速率错误，这表明预期输出与实际输出之间存在差异。

2.The software update aimed to fix the rate error that affected the performance of the application.

软件更新旨在修复影响应用程序性能的速率错误。

3.The technician explained that a rate error can occur if the input signal is too weak.

技术员解释说，如果输入信号太弱，就可能发生速率错误。

4.To avoid rate error, we need to calibrate the sensors regularly.

为了避免速率错误，我们需要定期校准传感器。

5.After reviewing the logs, we discovered multiple instances of rate error during peak usage times.

在查看日志后，我们发现高峰使用期间出现了多次速率错误。

作文

In the world of data analysis and statistics, accuracy is paramount. One of the critical concepts that analysts must understand is the notion of rate error. The term rate error refers to the discrepancy between the actual rate of occurrence of an event and the estimated or predicted rate. This can occur in various fields, including finance, healthcare, and engineering, where precise measurements and predictions are essential for making informed decisions.For instance, consider a financial analyst who predicts that a company will experience a 10% growth in its revenue over the next year. If the actual growth turns out to be only 7%, the rate error is 3%. This difference can have significant implications for investors and stakeholders, as it may affect stock prices and investment strategies. Therefore, understanding and minimizing rate error is crucial for accurate forecasting and maintaining trust with clients.In healthcare, rate error can have even more severe consequences. For example, if a public health official estimates that a vaccine will reduce the incidence of a disease by 90%, but the actual reduction is only 70%, the rate error could lead to inadequate public health responses. This miscalculation could result in higher infection rates and unnecessary loss of life. Hence, healthcare professionals must employ rigorous methods to ensure that their predictions are as accurate as possible to avoid such detrimental outcomes.Moreover, in engineering, rate error can affect the safety and efficiency of structures and systems. Engineers often rely on statistical models to predict the load-bearing capacity of materials. If they underestimate this capacity due to a rate error, it could lead to catastrophic failures in buildings or bridges. Therefore, engineers must constantly refine their models and incorporate real-world data to minimize rate error and ensure the safety of their designs.To effectively manage rate error, it is essential to adopt various strategies. First, analysts should utilize robust statistical techniques to improve the accuracy of their forecasts. Techniques such as regression analysis, time series analysis, and machine learning algorithms can help identify patterns and trends that may not be immediately apparent. By leveraging these tools, analysts can create more reliable models that reduce the likelihood of rate error.Additionally, continuous monitoring and updating of predictions are vital. As new data becomes available, analysts should revisit their initial estimates and adjust them accordingly. This iterative process helps to ensure that predictions remain relevant and accurate, thereby minimizing rate error over time.Furthermore, collaboration among professionals from different fields can also aid in reducing rate error. By sharing insights and expertise, teams can develop a more comprehensive understanding of the factors influencing their predictions. This interdisciplinary approach can lead to more accurate assessments and reduce the chances of significant discrepancies between estimated and actual rates.In conclusion, the concept of rate error plays a crucial role in various domains, affecting decision-making and outcomes. By recognizing the importance of minimizing rate error and implementing effective strategies, professionals can enhance the accuracy of their predictions and ultimately contribute to better results in their respective fields. Understanding and addressing rate error is not just a technical necessity; it is a responsibility that professionals must uphold to ensure the integrity and reliability of their work.

在数据分析和统计的世界中，准确性至关重要。分析师必须理解的一个关键概念是rate error的概念。术语rate error指的是事件实际发生率与估计或预测发生率之间的差异。这种情况可能发生在金融、医疗保健和工程等多个领域，在这些领域中，精确的测量和预测对于做出明智的决策至关重要。例如，考虑一位金融分析师预测某公司在未来一年内收入增长10%。如果实际增长只有7%，则rate error为3%。这一差异可能对投资者和利益相关者产生重大影响，因为它可能影响股票价格和投资策略。因此，理解和最小化rate error对于准确预测和维护客户信任至关重要。在医疗保健领域，rate error可能会带来更严重的后果。例如，如果公共卫生官员估计一种疫苗将使疾病发生率降低90%，但实际减少仅为70%，那么rate error可能导致公共卫生响应不足。这种错误计算可能导致感染率上升和不必要的生命损失。因此，医疗专业人员必须采用严格的方法，以确保他们的预测尽可能准确，从而避免这种有害的结果。此外，在工程领域，rate error可能影响结构和系统的安全性和效率。工程师通常依赖统计模型来预测材料的承载能力。如果由于rate error低估了这种能力，可能会导致建筑物或桥梁的灾难性故障。因此，工程师必须不断完善他们的模型，并结合现实数据，以最小化rate error，确保设计的安全性。为了有效管理rate error，必须采取各种策略。首先，分析师应利用强大的统计技术来提高预测的准确性。回归分析、时间序列分析和机器学习算法等技术可以帮助识别可能不立即显现的模式和趋势。通过利用这些工具，分析师可以创建更可靠的模型，从而减少rate error的可能性。此外，持续监测和更新预测至关重要。随着新数据的可用，分析师应重新审视他们的初步估算并相应调整。这一迭代过程有助于确保预测保持相关和准确，从而随着时间的推移最小化rate error。此外，不同领域专业人员之间的合作也可以帮助减少rate error。通过分享见解和专业知识，团队可以更全面地了解影响其预测的因素。这种跨学科的方法可以导致更准确的评估，并减少估计率与实际率之间重大差异的机会。总之，rate error的概念在各个领域发挥着至关重要的作用，影响决策和结果。通过认识到最小化rate error的重要性并实施有效的策略，专业人员可以提高其预测的准确性，最终为各自领域的更好结果做出贡献。理解和解决rate error不仅是技术上的必要性；这是专业人员必须承担的责任，以确保他们工作的完整性和可靠性。