residual list

简明释义

剩余横倾

英英释义

例句

1.Our manager asked us to update the residual list with any new findings from the last meeting.

我们的经理要求我们更新残余清单，添加上次会议的新发现。

2.After the project completion, we compiled a residual list to identify remaining tasks.

项目完成后，我们编制了一个残余清单以识别剩余任务。

3.The team reviewed the residual list for any overlooked issues before the final submission.

团队在最终提交之前审查了残余清单以查找任何被忽视的问题。

4.The residual list helps prioritize what needs to be addressed in the next phase of the project.

这个残余清单有助于优先处理项目下一阶段需要解决的事项。

5.We found several important items on the residual list that needed immediate attention.

我们在残余清单上发现了几个需要立即关注的重要事项。

作文

In the world of data management and analysis, the term residual list refers to a collection of items or data points that remain after certain processes have been applied. This concept is especially important in fields such as statistics, machine learning, and finance, where understanding what remains after filtering or processing can provide valuable insights. For instance, when conducting a regression analysis, the residuals are the differences between observed and predicted values. The residual list in this context would contain these residuals, allowing analysts to assess the accuracy of their models. The significance of the residual list extends beyond mere numbers; it serves as a diagnostic tool. By examining the residuals, one can identify patterns that may indicate issues with the model. If the residuals are randomly dispersed, it suggests that the model fits the data well. However, if there are discernible patterns, it may signal that the model is missing key variables or that the assumptions of the model have been violated. Thus, the residual list becomes a crucial component in refining and improving predictive models.Moreover, in the realm of finance, the residual list can help investors understand the performance of various assets. After accounting for market factors, the residual returns represent the portion of an asset's return that is not explained by broader market movements. This residual can provide insights into the true performance of an investment, helping investors make informed decisions. In practical applications, creating a residual list typically involves several steps. First, one must collect the relevant data and apply the necessary analytical methods. Once the primary analysis is complete, the next step is to calculate the residuals. This often involves subtracting predicted values from actual observations. The resulting values form the residual list, which can then be analyzed further.It is also worth noting that the residual list is not static; it can change as new data becomes available or as models are refined. This dynamic nature means that analysts need to continually update and reassess their residual lists to ensure they are making decisions based on the most accurate and current information.In conclusion, the residual list is a vital concept in data analysis that plays a significant role in enhancing the understanding of various models and their performances. Whether in statistics, machine learning, or finance, the ability to analyze and interpret the residual list can lead to more accurate predictions and better decision-making. As data continues to grow in importance across all sectors, mastering the use of the residual list will be essential for anyone involved in data-driven fields. Understanding how to construct, analyze, and leverage this list will undoubtedly contribute to more effective strategies and outcomes in both professional and academic settings.

在数据管理和分析的世界中，术语残差列表指的是在应用某些过程后仍然保留的一组项目或数据点。这个概念在统计学、机器学习和金融等领域尤为重要，因为理解过滤或处理后所剩下的内容可以提供有价值的见解。例如，在进行回归分析时，残差是观察值与预测值之间的差异。在这种情况下，残差列表将包含这些残差，使分析人员能够评估其模型的准确性。残差列表的重要性不仅仅体现在数字上；它还作为诊断工具。通过检查残差，可以识别可能表明模型存在问题的模式。如果残差随机分散，则表明模型很好地拟合了数据。然而，如果存在明显的模式，则可能表明模型缺少关键变量或模型假设被违反。因此，残差列表成为完善和改进预测模型的关键组成部分。此外，在金融领域，残差列表可以帮助投资者了解各种资产的表现。在考虑市场因素后，残差回报代表了资产回报中未被更广泛市场波动解释的部分。这个残差可以提供对投资真实表现的见解，帮助投资者做出明智的决策。在实际应用中，创建残差列表通常涉及几个步骤。首先，必须收集相关数据并应用必要的分析方法。一旦主要分析完成，下一步就是计算残差。这通常涉及从实际观察中减去预测值。得到的值形成了残差列表，然后可以进一步分析。值得注意的是，残差列表不是静态的；随着新数据的出现或模型的改进，它可能会发生变化。这种动态性质意味着分析人员需要不断更新和重新评估他们的残差列表，以确保他们基于最准确和最新的信息做出决策。总之，残差列表是数据分析中的一个重要概念，在增强对各种模型及其性能的理解方面发挥着重要作用。无论是在统计学、机器学习还是金融领域，分析和解释残差列表的能力都可以导致更准确的预测和更好的决策。随着数据在各个领域的重要性不断增长，掌握使用残差列表的能力对于任何参与数据驱动领域的人来说都是必不可少的。了解如何构建、分析和利用这个列表无疑将有助于在专业和学术环境中制定更有效的策略和结果。