noncentral

简明释义

英[ˌnɒnˈsentrəl]美[nɑːnˈsentrəl]

adj. 无心的，偏心的

英英释义

单词用法

同义词

反义词

例句

1.The quadratic curve is the necessary and sufficient condition of the noncentral curve as well as the equation's representative form.

二次曲线为非中心曲线的充要条件及方程表示形式。

2.Theoretical study shows that the 2D-convolution integers for noncentral point evaluation can be found just by using linear combination of those for the central points.

理论研究表明二维非中心点评估的卷积整数是一些确定的中心点的卷积整数的线性组合。

3.The relation between noncentral difference quotients convergence and derivative was discussed by drawing the concept of noncentral difference quotients convergence in this paper.

引入非中心差商极限概念，讨论了非中心差商极限存在与可导的关系，以及对称导数在研究函数性质方面的一些应。

4.The noncentral parameter of statistic distribution often needs to be estimated in error analysis, statistical test, deformational analysis, reliability analysis, and optimum design, etc.

在研究测量误差分析、模型误差统计检验、变形分析、可靠性分析和优化设计等问题中，经常需要对统计量分布的非中心参数进行估计。

5.The noncentral parameter of statistic distribution often needs to be estimated in error analysis, statistical test, deformational analysis, reliability analysis, and optimum design, etc.

在研究测量误差分析、模型误差统计检验、变形分析、可靠性分析和优化设计等问题中，经常需要对统计量分布的非中心参数进行估计。

6.The noncentral location of the new office is expected to reduce rental costs.

新办公室的非中心位置预计将降低租金成本。

7.The conference will be held in a noncentral venue to encourage participation from diverse groups.

会议将在一个非中心的场所举行，以鼓励来自不同群体的参与。

8.In the study, noncentral tendencies were observed in the data collected.

在研究中，收集的数据中观察到了非中心的趋势。

9.The research focused on noncentral areas of the city that are often overlooked.

这项研究集中在城市中常被忽视的非中心区域。

10.Many noncentral players in the market are gaining traction.

市场上许多非中心的参与者正在获得关注。

作文

In the realm of mathematics and statistics, the term noncentral often arises in discussions about distributions. A noncentral distribution is one that does not center around a specific point or mean, but rather spreads out across a range of values. This concept is crucial when analyzing data that does not conform to the traditional normal distribution model. For instance, in hypothesis testing, the noncentral chi-squared distribution is used to assess the goodness of fit when the null hypothesis is false. Understanding noncentral distributions allows researchers to make more accurate predictions and conclusions based on their data.The importance of recognizing noncentral tendencies in data cannot be overstated. Many real-world phenomena do not follow a central tendency, which can lead to misleading interpretations if one solely relies on central measures such as the mean or median. For example, consider the income distribution in a society. While the average income might suggest a certain level of prosperity, it can mask the reality of significant income inequality. In this case, a noncentral analysis would provide a clearer picture by highlighting the spread and skewness of income data.Additionally, in fields such as psychology and social sciences, researchers often encounter noncentral tendencies in behavioral data. When studying human behavior, researchers must account for various factors that influence outcomes, leading to results that are not centered around a single cause. For example, the effectiveness of a new teaching method may vary widely among different groups of students, indicating a noncentral response to the intervention. Thus, acknowledging this variability is essential for developing effective educational strategies.Moreover, the concept of noncentral is not limited to statistics; it also appears in discussions about organizational structures and decision-making processes. In many organizations, the power dynamics are noncentral, meaning that authority and influence are distributed rather than concentrated at the top. This decentralized approach can foster innovation and collaboration, as diverse perspectives contribute to problem-solving. Companies like Google and Amazon exemplify this noncentral structure, where teams operate autonomously while still aligning with the overall vision of the organization.In conclusion, understanding the implications of noncentral distributions and structures is vital across various disciplines. Whether in statistical analysis, social sciences, or organizational behavior, recognizing the noncentral nature of data and dynamics leads to more informed decisions and better outcomes. As we continue to navigate complex systems and data sets, embracing the noncentral perspective will enhance our ability to interpret information accurately and develop innovative solutions.

在数学和统计学领域，术语非中心常常出现在关于分布的讨论中。非中心分布是指不围绕特定点或均值集中，而是分散在一系列值上的分布。这一概念在分析不符合传统正态分布模型的数据时至关重要。例如，在假设检验中，当原假设为假时，使用非中心卡方分布来评估拟合优度。理解非中心分布使研究人员能够根据数据做出更准确的预测和结论。认识到数据中的非中心倾向的重要性不容小觑。许多现实世界现象并不遵循中心趋势，如果仅依赖于平均数或中位数等中心度量，可能会导致误导性的解释。例如，考虑一个社会的收入分布。虽然平均收入可能暗示某种繁荣水平，但它可能掩盖收入不平等的现实。在这种情况下，非中心分析将通过强调收入数据的分散和偏斜性提供更清晰的图景。此外，在心理学和社会科学等领域，研究人员经常遇到行为数据中的非中心倾向。在研究人类行为时，研究人员必须考虑影响结果的各种因素，导致结果并不围绕单一原因集中。例如，一种新教学方法的有效性在不同学生群体中可能差异很大，这表明对干预的反应是非中心的。因此，承认这种变异性对于制定有效的教育策略至关重要。此外，非中心的概念不仅限于统计学；它还出现在关于组织结构和决策过程的讨论中。在许多组织中，权力动态是非中心的，这意味着权威和影响力是分散的，而不是集中在顶部。这种去中心化的方法可以促进创新与合作，因为多样化的观点有助于问题解决。像谷歌和亚马逊这样的公司就是这种非中心结构的典范，团队在保持与组织整体愿景一致的同时，独立运作。总之，理解非中心分布和结构的影响在各个学科中至关重要。无论是在统计分析、社会科学还是组织行为中，认识到数据和动态的非中心特性都能带来更明智的决策和更好的结果。随着我们继续应对复杂的系统和数据集，拥抱非中心视角将增强我们准确解读信息和开发创新解决方案的能力。