nonrandom
简明释义
adj. [计] 非随机的
英英释义
Not occurring or selected by chance; having a specific pattern or structure. | 不是偶然发生或选择的;具有特定的模式或结构。 |
单词用法
非随机模式 | |
非随机变化 | |
非随机过程 | |
非随机误差 | |
非随机抽样方法 | |
非随机对照组 | |
非随机试验 | |
非随机因素 |
同义词
反义词
随机的 | 结果是通过随机抽样获得的。 | ||
任意的 | The selection process was arbitrary and lacked clear criteria. | 选择过程是任意的,缺乏明确的标准。 |
例句
1.However, the study lacked a control group and used nonrandom sampling, they noted.
然而,这项研究缺乏一个控制组并且采用的是非随机抽样,他们表示。
2.The numerical results for a group of roughly estimated parameters show that the proposed model may be able to explain the nonrandom usage of synonymous codons.
对干一组粗略估计的参数进行数值计算的结果表明,本文提出的模型能较好地解释同义密码于的非均匀使用问题。
3.The restricted access mechanism meets the request of nonrandom matching and is favorable for setting up repeated game and trust mechanism and also favors contract management.
限制性进入机制符合非随机配对的要求,并有利于建立重复博弈和信任机制,有利于契约管理。
4.We have found that alien invasive species' DNA sequences are nonrandom, and the signatures are specific: the closer the species are, the more similar the signatures will be.
通过对不同入侵物种基因签名的分析比较,发现入侵物种的DNA序列非随机,基因签名具有物种特性,且物种越近,签名越相似。
5.The high frequency of giant submetacentric chromosome in Hodgkin's disease revealed that it was nonrandom chromosome abnormality.
巨大亚中着丝粒染色体以较高的频率出现在何杰金氏病中表明它是非随机性的染色体异常。
6.Methods: Nonrandom purposive sampling was used to select key respondents to conduct indepth interview.
方法:采用非随机、目的抽样方法选择被访者,对关键知情人进行个人深入访谈。
7.Because random process theory is not an assumed prerequisite for this text, emphasis will be on deterministic (nonrandom) lumped parameter systems.
因为随机过程理论并不是本课要求的先修课程,所以本课的重点将放在确定性(非随机)的分段集中参数系统上。
8.In information theory, the average information content-a measure of nonrandom ness in a signal.
在信息论中,信息容量的平均数——信号非随机性的量度。
9.The restricted access mechanism meets the request of nonrandom matching and is favorable for setting up repeated game and trust mechanism and also favors contract management.
限制性进入机制符合非随机配对的要求,并有利于建立重复博弈和信任机制,有利于契约管理。
10.The researchers found that the sample was nonrandom 非随机的, leading to biased results.
研究人员发现样本是非随机的,导致结果有偏差。
11.In a nonrandom 非随机的 selection process, certain individuals were favored over others.
在一个非随机的选择过程中,某些个体被优待。
12.The lottery system must ensure that the draw is nonrandom 非随机的 to prevent cheating.
彩票系统必须确保抽签是非随机的以防止作弊。
13.Their findings suggested that the data collection was nonrandom 非随机的, which could skew the analysis.
他们的发现表明数据收集是非随机的,这可能会扭曲分析结果。
14.A nonrandom 非随机的 approach to sampling can lead to misleading conclusions.
采用非随机的抽样方法可能导致误导性结论。
作文
In the realm of statistics and research, the concept of nonrandom sampling is crucial for ensuring the validity and reliability of results. When researchers conduct studies, they often need to gather data from a specific population. However, if the method of selecting participants is nonrandom, it can lead to biased outcomes that do not accurately reflect the larger group. This essay will explore the importance of nonrandom versus random sampling and how it affects research conclusions. To begin with, let us define what nonrandom sampling entails. In contrast to random sampling, where every individual in the population has an equal chance of being selected, nonrandom sampling involves selecting participants based on certain criteria or characteristics. For instance, a researcher might choose to survey only individuals who are over the age of 50, thereby excluding younger populations. While this approach can yield valuable insights about a specific demographic, it limits the generalizability of the findings to the broader population. One common type of nonrandom sampling is convenience sampling, where participants are chosen based on their easy availability. For example, if a researcher conducts a survey at a local mall, they may only capture the opinions of shoppers who happen to be present at that time. This method can introduce significant bias, as it does not account for those who do not frequent the mall or who may have different opinions entirely. As a result, the data collected may not accurately represent the views of the entire population. Another example of nonrandom sampling is purposive sampling, where researchers intentionally select individuals who meet specific criteria relevant to the study. This can be beneficial when exploring niche topics or when the researcher seeks to understand a particular phenomenon in depth. However, the findings are still limited to the selected group and cannot be broadly applied without caution. The implications of using nonrandom sampling methods are significant. Researchers must be aware that their findings may not be universally applicable. For instance, if a study on health behaviors uses a nonrandom sample of only college students, the results may not hold true for older adults or those from different socioeconomic backgrounds. This limitation can affect policy-making, as decisions based on skewed data may not address the needs of the entire population. Moreover, the credibility of research findings can be compromised when nonrandom sampling is employed without proper justification. Peer-reviewed journals often require rigorous methodologies to ensure the integrity of published research. If a study relies on nonrandom sampling without acknowledging its limitations, it risks being dismissed by the academic community. In conclusion, while nonrandom sampling can provide valuable insights into specific groups, researchers must exercise caution when interpreting and generalizing their findings. Understanding the differences between random and nonrandom sampling is essential for producing reliable research outcomes. By recognizing the potential biases introduced by nonrandom methods, researchers can better design their studies and contribute to a more accurate understanding of the populations they aim to study. Ultimately, the goal should always be to strive for research that is both valid and representative of the broader community, ensuring that conclusions drawn are sound and applicable to real-world scenarios.
在统计学和研究领域,非随机抽样的概念对于确保结果的有效性和可靠性至关重要。当研究人员进行研究时,他们通常需要从特定人群中收集数据。然而,如果选择参与者的方法是非随机的,可能会导致偏见的结果,这些结果并不能准确反映更大群体的情况。本文将探讨非随机抽样与随机抽样的重要性以及它如何影响研究结论。 首先,让我们定义一下非随机抽样的含义。与随机抽样不同,在随机抽样中,群体中的每个个体都有相等的机会被选中,而非随机抽样则涉及根据某些标准或特征选择参与者。例如,研究人员可能选择只对50岁以上的个体进行调查,从而排除了年轻人群体。虽然这种方法可以提供有关特定人口的有价值的见解,但它限制了研究结果向更广泛人群的推广。 一种常见的非随机抽样类型是便利抽样,其中参与者根据其易获得性被选择。例如,如果研究人员在当地购物中心进行调查,他们可能只捕捉到当时在场购物者的意见。这种方法可能引入显著的偏见,因为它没有考虑那些不常去购物中心的人或可能有完全不同意见的人。因此,收集的数据可能无法准确代表整个群体的观点。 另一个非随机抽样的例子是目的抽样,研究人员故意选择符合特定标准的个体,与研究相关。这在探索小众主题或研究人员希望深入理解特定现象时可能是有益的。然而,所得到的发现仍然局限于所选小组,不能在没有谨慎的情况下广泛应用。 使用非随机抽样方法的影响是显著的。研究人员必须意识到,他们的发现可能并不具有普遍适用性。例如,如果一项关于健康行为的研究使用了仅限大学生的非随机样本,那么结果可能不适用于年长者或来自不同社会经济背景的人。这种限制可能影响政策制定,因为基于失真数据做出的决策可能无法满足整个群体的需求。 此外,当非随机抽样未得到适当的理由时,研究结果的可信度可能会受到损害。同行评审的期刊通常要求严格的方法,以确保发表研究的完整性。如果一项研究依赖于非随机抽样而未承认其局限性,它可能面临被学术界驳回的风险。 总之,尽管非随机抽样可以为特定群体提供有价值的见解,但研究人员在解释和推广其发现时必须保持谨慎。理解随机抽样与非随机抽样之间的差异对于产生可靠的研究结果至关重要。通过认识到非随机方法引入的潜在偏见,研究人员可以更好地设计他们的研究,并为更准确地理解他们旨在研究的人群做出贡献。最终,目标应该始终是追求既有效又能代表更广泛社区的研究,确保得出的结论是合理的并适用于现实世界的情境。
文章标题:nonrandom的意思是什么
文章链接:https://www.liuxue886.cn/danci/428182.html
本站文章均为原创,未经授权请勿用于任何商业用途
发表评论