secondary parameter

简明释义

次级参数

英英释义

例句

1.In the experiment, the researchers focused on the primary variable but noted that the secondary parameter 次要参数 could also influence the results.

在实验中，研究人员专注于主要变量，但注意到 次要参数 secondary parameter 也可能影响结果。

2.In project management, time is often the primary constraint, while budget serves as a secondary parameter 次要参数.

在项目管理中，时间通常是主要约束，而预算则作为 次要参数 secondary parameter。

3.The model's accuracy can be affected by changes in the secondary parameter 次要参数 during simulations.

在模拟过程中，模型的准确性可能会受到 次要参数 secondary parameter 变化的影响。

4.When conducting a survey, demographic data is often treated as a secondary parameter 次要参数 to analyze trends.

在进行调查时，人口统计数据通常被视为分析趋势的 次要参数 secondary parameter。

5.The software allows users to adjust the secondary parameter 次要参数 for better performance tuning.

该软件允许用户调整 次要参数 secondary parameter 以获得更好的性能调优。

作文

In the field of research and data analysis, understanding the various parameters that influence outcomes is crucial. Among these parameters, there are primary and secondary factors that play different roles in shaping results. A primary parameter is the main factor that has a direct impact on the outcome, while a secondary parameter (二级参数) can influence the outcome indirectly or provide additional context. For instance, in a study examining the effects of a new medication, the dosage would be considered a primary parameter, while the age of the participants might be classified as a secondary parameter (二级参数). Although age does not directly affect the medication's efficacy, it can modify how individuals respond to treatment, thus impacting the overall findings of the study.Secondary parameters are often used to refine analyses and improve the accuracy of conclusions drawn from data. In many scientific experiments, researchers collect data on both primary and secondary parameters (二级参数) to ensure a comprehensive understanding of their subject matter. This dual approach allows for a more nuanced interpretation of results, highlighting the complexity of interactions between different factors.Moreover, the role of secondary parameters (二级参数) is not limited to scientific research. In fields such as economics, marketing, and engineering, secondary parameters can provide valuable insights that enhance decision-making processes. For example, in marketing analytics, a company may track sales figures as a primary parameter while also considering customer demographics as secondary parameters (二级参数). By analyzing how different demographic groups respond to marketing strategies, businesses can tailor their approaches to maximize engagement and sales.Another important aspect of secondary parameters (二级参数) is their ability to reveal trends and patterns that may not be immediately apparent when only primary parameters are analyzed. For instance, in environmental studies, researchers may focus on carbon emissions as a primary parameter but will also examine factors like population density and industrial activity as secondary parameters (二级参数). These additional factors can shed light on the broader implications of carbon emissions and help policymakers develop more effective interventions.It is essential to recognize that while secondary parameters (二级参数) may not always seem critical at first glance, they can significantly affect the interpretation of data. Ignoring these parameters could lead to incomplete or misleading conclusions, particularly in complex systems where multiple variables interact. Therefore, researchers and analysts must be diligent in identifying and incorporating secondary parameters (二级参数) into their studies to enhance validity and reliability.In conclusion, the distinction between primary and secondary parameters (二级参数) is vital in various fields, including science, business, and social research. By acknowledging the role of secondary parameters (二级参数), we can gain a deeper understanding of the dynamics at play in any given situation. Ultimately, this comprehensive approach leads to better-informed decisions and more effective solutions to the challenges we face in our ever-evolving world.

在研究和数据分析领域，理解影响结果的各种参数至关重要。在这些参数中，有主要因素和次要因素，它们在塑造结果方面扮演着不同的角色。主要参数是对结果有直接影响的主要因素，而次要参数（二级参数）则可以间接影响结果或提供额外的背景信息。例如，在一项研究中，检查新药物的效果，剂量被认为是主要参数，而参与者的年龄可能被归类为次要参数（二级参数）。尽管年龄并不直接影响药物的疗效，但它可以改变个体对治疗的反应，从而影响研究的整体发现。次要参数通常用于细化分析并提高从数据中得出的结论的准确性。在许多科学实验中，研究人员收集关于主要和次要参数（二级参数）的数据，以确保对其主题的全面理解。这种双重方法使得对结果的解释更加细致，突显了不同因素之间相互作用的复杂性。此外，次要参数（二级参数）的作用不仅限于科学研究。在经济学、市场营销和工程等领域，次要参数可以提供有价值的见解，从而增强决策过程。例如，在市场分析中，一家公司可能将销售数字作为主要参数，同时考虑客户人口统计作为次要参数（二级参数）。通过分析不同人口群体对营销策略的响应，公司可以调整其方法以最大化参与度和销售量。次要参数（二级参数）的另一个重要方面是它们能够揭示趋势和模式，这些趋势和模式在仅分析主要参数时可能并不明显。例如，在环境研究中，研究人员可能将碳排放作为主要参数，但也会将人口密度和工业活动作为次要参数（二级参数）进行考察。这些额外因素可以揭示碳排放的更广泛影响，并帮助政策制定者制定更有效的干预措施。必须认识到，尽管次要参数（二级参数）在初看时可能并不显得关键，但它们可以显著影响数据的解释。忽视这些参数可能导致不完整或误导性的结论，特别是在多个变量相互作用的复杂系统中。因此，研究人员和分析师必须在研究中认真识别和纳入次要参数（二级参数），以增强有效性和可靠性。总之，主要参数和次要参数（二级参数）之间的区别在科学、商业和社会研究等各个领域都是至关重要的。通过承认次要参数（二级参数）的作用，我们可以更深入地理解任何特定情况中的动态。最终，这种全面的方法导致更明智的决策和更有效的解决方案，以应对我们不断发展的世界所面临的挑战。