rejection ratio

简明释义

衰减率

英英释义

例句

1.By analyzing the rejection ratio (拒绝比率), we can identify areas for improvement.

通过分析拒绝比率 (rejection ratio)，我们可以识别改进的领域。

2.To maintain quality, we must monitor the rejection ratio (拒绝比率) closely.

为了保持质量，我们必须密切监控拒绝比率 (rejection ratio)。

3.The factory aims to reduce its rejection ratio (拒绝比率) to improve overall efficiency.

工厂旨在降低其拒绝比率 (rejection ratio)以提高整体效率。

4.Last quarter, our rejection ratio (拒绝比率) was higher than industry standards.

上个季度，我们的拒绝比率 (rejection ratio)高于行业标准。

5.A high rejection ratio (拒绝比率) can indicate problems in the production process.

高拒绝比率 (rejection ratio)可能表明生产过程中存在问题。

作文

In the world of statistics and data analysis, the term rejection ratio refers to the proportion of items that are rejected from a dataset or a process compared to the total number of items considered. Understanding the rejection ratio is crucial in various fields such as manufacturing, quality control, and research. For instance, in a manufacturing setting, if a factory produces 1,000 widgets and 50 of them fail quality control tests, the rejection ratio would be 5%. This percentage provides valuable insight into the production process and helps identify areas for improvement.The significance of the rejection ratio extends beyond just numbers; it serves as a benchmark for performance. A high rejection ratio might indicate issues with the production line, such as faulty machinery or poor-quality raw materials. Conversely, a low rejection ratio suggests that the process is running smoothly and efficiently. By continuously monitoring this ratio, companies can implement corrective actions to enhance their operations.In research, the rejection ratio can also play an important role, particularly in the context of academic publishing. When researchers submit their papers to journals, many are rejected for various reasons, including lack of originality, methodological flaws, or failure to meet the journal's scope. The rejection ratio in this scenario can reflect the journal's selectivity and the overall quality of the submissions it receives. For example, if a journal receives 100 submissions and only publishes 10, the rejection ratio would be 90%. This high ratio may deter some researchers from submitting their work, while others may view it as a prestigious platform, knowing that getting published there is a significant achievement.Furthermore, the rejection ratio can influence funding decisions in competitive grant applications. Funding agencies often look at the rejection ratio of proposals to gauge the competitiveness of their funding programs. A high rejection ratio may indicate a rigorous selection process, which can enhance the credibility of the funded projects. Researchers may feel motivated to improve their proposals to increase their chances of success in future applications.In summary, the concept of rejection ratio is multifaceted and plays a vital role in various sectors. Whether in manufacturing, academic publishing, or research funding, understanding and analyzing the rejection ratio helps stakeholders make informed decisions. It serves as a critical indicator of quality and efficiency, guiding improvements and fostering excellence. As industries and research continue to evolve, the importance of monitoring the rejection ratio will remain significant, ensuring that standards are upheld and progress is made towards achieving better outcomes.

在统计学和数据分析的世界中，术语拒绝比率指的是从数据集或过程中过滤掉的项目与考虑的项目总数的比例。理解拒绝比率在制造、质量控制和研究等多个领域至关重要。例如，在制造环境中，如果一家工厂生产了1000个小部件，其中50个未通过质量控制测试，则拒绝比率为5%。这个百分比为生产过程提供了宝贵的见解，并有助于识别改进的领域。拒绝比率的重要性不仅仅体现在数字上；它作为绩效的基准。高拒绝比率可能表明生产线存在问题，例如设备故障或原材料质量差。相反，低拒绝比率则表明过程运行顺利且高效。通过持续监控这一比率，公司可以实施纠正措施以提高其运营。在研究中，拒绝比率也可以发挥重要作用，特别是在学术出版的背景下。当研究人员向期刊提交论文时，许多论文因各种原因被拒，包括缺乏原创性、方法论缺陷或未能符合期刊的范围。在这种情况下，拒绝比率可以反映期刊的选择性以及其收到的提交稿件的整体质量。例如，如果一本期刊收到100篇投稿，仅发表10篇，则拒绝比率为90%。这个高比例可能会使一些研究人员不愿意提交他们的工作，而另一些人可能会将其视为一个有声望的平台，知道在这里发表是一个重要的成就。此外，拒绝比率还可能影响竞争性资助申请中的资助决策。资助机构通常会查看提案的拒绝比率，以评估其资助项目的竞争力。高拒绝比率可能表明严格的选择过程，这可以增强资助项目的可信度。研究人员可能会感到有动力改善他们的提案，以增加未来申请成功的机会。总之，拒绝比率的概念是多方面的，并在各个行业中发挥着重要作用。无论是在制造、学术出版还是研究资助中，理解和分析拒绝比率帮助利益相关者做出明智的决策。它作为质量和效率的重要指标，指导改进并促进卓越。随着行业和研究的不断发展，监测拒绝比率的重要性将继续显著，确保标准得以维持，并朝着实现更好结果的方向不断进步。