subsample

简明释义

英[ˈsʌbsɑːmpəl]美[ˈsʌbˌsæmpl]

n. （从样品中再抽取的）子样品；二次抽样样品

vt. 对……作二次抽样

英英释义

单词用法

同义词

反义词

例句

1.A subsample based watermarking scheme has been investigated for digital audio in this study.

提出了一种基于分抽样的音频数字水印算法。

2.This subsample of our patients was divided into five groups according to their grammatical ability. Figure 7.11 shows the result.

下面这些我们患者的样本根据他们的文法能力被分为五组，图7.11显示出结果。

3.A new computational formula of fiducial probability in consideration of sample size and subsample standard deviation is derived from the least squares principle.

利用最小二乘原理，推导出考虑样本容量和子样标准差的求解置信概率的函数，继而确定数据的置信区间，对数据进行筛选。

4.In analyzing wealth accumulation, we limit attention to the subsample that supplied complete data on all financial and demographic variables of interest.

在分析财富的积累，我们限制一个子样本，提供完整的金融和人口变量统计数据。

5.In order to obtain the sensitivity and the specificity, which are useful for practice, it is necessary that a subsample should be selected in the screened negative subjects for diagnoses.

为了获得有实用价值的灵敏度及特异度，在筛查阴性者中抽取一定比例样本进行诊断试验是必要的。

6.This study examined only the subsample of 146 patients who reached remission within 10 sessions, had no psychotic features, and provided treatment history at baseline.

该研究仅对子样本的146名患者进行考察。他们在10周期治疗内符合缓和标准，没有精神病症状并且在初始阶段有治疗史。

7.In order to obtain the sensitivity and the specificity, which are useful for practice, it is necessary that a subsample should be selected in the screened negative subjects for diagnoses.

为了获得有实用价值的灵敏度及特异度，在筛查阴性者中抽取一定比例样本进行诊断试验是必要的。

8.The researchers used a subsample of participants to conduct their preliminary analysis.

研究人员使用了一个参与者的子样本进行初步分析。

9.To reduce the computational load, we decided to take a subsample of the dataset.

为了减少计算负担，我们决定从数据集中取一个子样本。

10.In this study, a random subsample was selected to ensure diversity.

在这项研究中，随机选择了一个子样本以确保多样性。

11.The team analyzed a subsample of the population to draw conclusions.

团队分析了该人群的一个子样本以得出结论。

12.After collecting all the data, we will subsample it for further testing.

在收集完所有数据后，我们将对其进行子样本抽取以进行进一步测试。

作文

In the field of statistics and data analysis, the concept of a subsample (子样本) plays a crucial role in understanding larger datasets. A subsample is essentially a smaller portion of a larger sample that is selected for analysis. This technique is particularly useful when dealing with extensive data sets where analyzing the entire dataset would be impractical or time-consuming. By working with a subsample, researchers can draw conclusions about the overall population without the need to process every single data point.For example, consider a survey conducted to understand consumer preferences for a new product. If a company were to survey 10,000 individuals, it might not be feasible to analyze all responses due to time constraints and resource limitations. Instead, the company could create a subsample (子样本) of 1,000 responses that accurately reflects the demographics of the larger group. This smaller set can then be analyzed to infer trends and preferences that are likely present in the full dataset.The selection of a subsample is critical to ensure that it is representative of the larger population. There are various methods for selecting a subsample, including random sampling, stratified sampling, and systematic sampling. Each method has its advantages and disadvantages, and the choice often depends on the specific research question and the nature of the data.Moreover, using a subsample can significantly reduce the costs associated with data collection and analysis. In many cases, researchers can save time and resources while still obtaining reliable insights. For instance, in clinical trials, a subsample of participants may be monitored more closely to assess the efficacy of a new drug. This approach allows researchers to conduct thorough examinations without overwhelming their resources.However, it is important to acknowledge the limitations of using a subsample. If not carefully selected, a subsample may not accurately represent the larger population, leading to biased results. Therefore, researchers must ensure that their subsample is chosen based on sound statistical principles and methodologies.In conclusion, the use of a subsample (子样本) is a powerful tool in data analysis that enables researchers to draw meaningful conclusions from large datasets efficiently. By carefully selecting and analyzing a subsample, researchers can gain valuable insights while minimizing time and resource expenditure. However, the selection process must be approached with caution to avoid biases that could skew the results. As data continues to grow in volume and complexity, the ability to effectively utilize subsample techniques will become increasingly important in various fields, from market research to public health studies.

在统计学和数据分析领域，subsample（子样本）这一概念在理解更大数据集方面发挥着至关重要的作用。subsample 本质上是从较大样本中选取的小部分，用于分析。当处理庞大的数据集时，分析整个数据集可能不切实际或耗时。因此，通过使用 subsample，研究人员可以在不需要处理每一个数据点的情况下，对总体人群得出结论。例如，考虑一项旨在了解消费者对新产品偏好的调查。如果一家公司对 10,000 名个人进行调查，由于时间限制和资源限制，分析所有响应可能不可行。相反，该公司可以创建一个准确反映更大群体人口统计特征的 subsample（子样本）——即 1,000 个响应。然后，可以分析这个较小的数据集，以推断出在完整数据集中可能存在的趋势和偏好。选择 subsample 是确保其代表性的重要环节。选择 subsample 的方法有多种，包括随机抽样、分层抽样和系统抽样。每种方法都有其优缺点，选择通常取决于具体的研究问题和数据的性质。此外，使用 subsample 可以显著降低与数据收集和分析相关的成本。在许多情况下，研究人员可以节省时间和资源，同时仍然获得可靠的见解。例如，在临床试验中，可能会更密切地监测一组 subsample 参与者，以评估新药的有效性。这种方法使研究人员能够进行彻底的检查，而不会使他们的资源不堪重负。然而，必须承认使用 subsample 的局限性。如果选择不当，subsample 可能无法准确代表更大的人群，从而导致结果偏差。因此，研究人员必须确保他们的 subsample 是基于合理的统计原则和方法选择的。总之，使用 subsample（子样本）是数据分析中的一种强大工具，使研究人员能够高效地从大型数据集中得出有意义的结论。通过仔细选择和分析 subsample，研究人员可以获得有价值的见解，同时最小化时间和资源的消耗。然而，选择过程必须谨慎对待，以避免可能扭曲结果的偏差。随着数据量和复杂性的不断增长，有效利用 subsample 技术的能力将在市场研究到公共卫生研究等各个领域变得越来越重要。