variate

简明释义

英[ˈveərɪeɪt]美[ˈverɪeɪt]

n. [数] 变量；改变

英英释义

单词用法

同义词

反义词

例句

1.Proper variate thread pitch techniques can be adopted to improve the distributions of detention forces, so as to strengthen casing strings'loadsupporting capability.

采用适当的变螺距工艺可使扣牙力分布得以改善，从而提高套管柱承载能力。

2.Results: After variate transformation by clustering, the data was more similar to normal distribution.

结果：指标变量经聚类变换后，资料总体更接近于正态分布。

3.I am not confident that exponential-variate distribution is genuinely an accurate model here.

我不能确定这里的指数变量分布确实是一个精确的模型。

4.The shape and perigee of artificial satellite orbits shall continually variate due to caused by the atmospherical drag and the earth gravity.

人造地球卫星的轨道由于大气阻力和地球引力场等因素的摄动，其形状和近地点位置将不断改变。

5.The theory of new systematic economics objectively reflects that systems are an important economic variate which influences the international industrial competitive ability of a country.

新制度经济学理论客观地反映出制度是影响一国产业国际竞争力的一个重要的经济变量。

6.And so, the methods of R-mode factor analysis, single-variate factor Krig-ing and multifractals are used in the present paper, to disperse the compounding geochemical field.

相应地，用R型因子分析法、单变量因子克立格法和多标度分形谱便能有效地实现地球化学场的分解。

7.Wavelet transform involves the two-variate function of frequency and time, which makes it convenient to simultaneously compensate for attenuation of seismic energy in frequency and time domains.

小波变换作为频率和时间的二元函数，使之可以很方便地在频率和时间域中同时进行地震波能量的吸收衰减补偿。

8.Among women who reported current aspirin use, the multi-variate relative risk of all-cause death was 0.75 (95% confidence interval, 0.71-0.81) compared with women who never used aspirin regularly.

在目前使用阿斯匹林的妇女中，与从未规律的的使用过阿斯匹林的相比，所有引起死亡的多变量相对危险度为0.75，(95%的可信区间为0.71 ~ 0.81)。

9.In this peper, the side clearance of gears is classified into two parts: stochastic variate and stochastic phasing side clearance.

简介板带剪切变形过程，分析了影响切边质量的因素，剪刃侧隙是保证切边质量的重要因素，起决定性作用。

10.A linear regression model can predict the outcome based on one or more variates 变量.

线性回归模型可以根据一个或多个 variates 变量 预测结果。

11.The experiment measured the effect of temperature on the variate 变量 of plant growth.

实验测量了温度对植物生长的 variate 变量 的影响。

12.Researchers often use multiple variates 变量 to understand complex systems.

研究人员通常使用多个 variates 变量 来理解复杂系统。

13.When analyzing data, it is important to identify the dependent variate 变量 in your study.

在分析数据时，识别您研究中的因变量 variate 变量 是很重要的。

14.In statistics, a variate 变量 is a measurable quantity that can vary.

在统计学中，variate 变量 是一个可变的可测量量。

作文

In the field of statistics, the concept of a variate is crucial for understanding how data behaves and how it can be analyzed. A variate refers to a variable that can take on different values. It is an important term used to describe any measurable characteristic that can vary across individuals or over time. For example, in a study examining the effects of a new drug, the variates might include age, weight, and response to treatment. Each of these factors can change and influence the outcome of the study.Understanding variates is essential for researchers as they design experiments and analyze data. When researchers collect data, they often categorize their variates into different types. There are two main types of variates: independent and dependent. An independent variate is one that is manipulated or controlled by the researcher, while a dependent variate is the outcome that is measured in response to changes in the independent variate. This relationship is fundamental in experimental design, as it helps to establish cause-and-effect relationships.For instance, if a researcher is studying the impact of study habits on exam scores, the study habits would be the independent variate, and the exam scores would be the dependent variate. By analyzing how different study habits affect scores, the researcher can draw conclusions about which methods are most effective. This process illustrates how variates can provide valuable insights into various phenomena.Moreover, the use of variates extends beyond simple experiments. In more complex analyses, such as regression analysis, multiple variates are examined simultaneously to understand their collective impact on a particular outcome. This allows researchers to control for confounding factors and isolate the effects of specific variates. For example, in a health study, researchers might look at the impact of diet, exercise, and genetics as variates influencing overall health outcomes. By considering multiple variates, they can create a more comprehensive picture of what contributes to health.The importance of variates also extends to fields outside of statistics, such as economics, psychology, and social sciences. In these disciplines, understanding variates helps researchers and practitioners make informed decisions based on data-driven insights. For instance, in marketing, businesses analyze consumer behavior by looking at various variates such as age, income, and purchasing habits to tailor their strategies effectively.In conclusion, the term variate is a fundamental concept in statistics and research methodology. It refers to any variable that can take on different values and plays a critical role in data analysis. By understanding how to identify and manipulate variates, researchers can uncover meaningful patterns and relationships within their data. This knowledge not only enhances the validity of research findings but also contributes to the advancement of knowledge across various fields. As we continue to navigate a data-driven world, mastering the concept of variates will remain essential for anyone involved in research or data analysis.

在统计学领域，variate的概念对于理解数据的行为及其分析至关重要。variate指的是一个可以取不同值的变量。这个术语用于描述可以在个体之间或随着时间变化的任何可测量特征。例如，在一项研究新药效果的研究中，variates可能包括年龄、体重和对治疗的反应。这些因素都可以改变，并影响研究的结果。理解variates对于研究人员设计实验和分析数据至关重要。当研究人员收集数据时，他们通常会将variates分类为不同类型。有两种主要类型的variates：独立和依赖。独立variate是研究人员操控或控制的变量，而依赖variate是作为对独立variate变化的反应所测量的结果。这种关系在实验设计中是基础，因为它有助于建立因果关系。例如，如果研究人员正在研究学习习惯对考试成绩的影响，学习习惯将是独立variate，而考试成绩将是依赖variate。通过分析不同学习习惯对成绩的影响，研究人员可以得出哪些方法最有效的结论。这一过程说明了variates如何提供对各种现象的有价值的见解。此外，variates的使用不仅限于简单的实验。在更复杂的分析中，例如回归分析，同时考察多个variates以了解它们对特定结果的集体影响。这使研究人员能够控制混杂因素，并孤立特定variates的影响。例如，在一项健康研究中，研究人员可能会考虑饮食、锻炼和遗传作为影响整体健康结果的variates。通过考虑多个variates，他们可以创建更全面的健康贡献图景。variates的重要性还扩展到统计学以外的领域，如经济学、心理学和社会科学。在这些学科中，理解variates帮助研究人员和从业者根据数据驱动的见解做出明智的决策。例如，在市场营销中，企业通过分析消费者行为来研究各种variates（如年龄、收入和购买习惯），以有效地调整策略。总之，variate这一术语是统计学和研究方法中的基本概念。它指的是任何可以取不同值的变量，并在数据分析中发挥着关键作用。通过了解如何识别和操控variates，研究人员可以揭示数据中的有意义模式和关系。这一知识不仅增强了研究结果的有效性，还有助于促进各个领域的知识进步。随着我们继续在数据驱动的世界中航行，掌握variates的概念将对任何参与研究或数据分析的人保持至关重要。