Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Convenience Sampling Method00:55

Convenience Sampling Method

9.0K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
9.0K
Stratified Sampling Method01:16

Stratified Sampling Method

12.1K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
12.1K
Random Sampling Method01:09

Random Sampling Method

11.2K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
11.2K
Cluster Sampling Method01:20

Cluster Sampling Method

12.0K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
12.0K
Introduction to Statistics01:17

Introduction to Statistics

47.3K
The science of statistics involves collecting, analyzing, interpreting, and presenting data. The method of collecting, organizing, and summarizing data is called descriptive statistics. The systematic method of drawing inferences from the sample data and predicting unknown characteristics of a population is called inferential statistics.
In statistics, the collection of individuals or objects under study is called population. The idea of sampling is to select a portion of the larger population...
47.3K
Data Collection by Survey01:07

Data Collection by Survey

6.5K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
6.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Corporate Social Responsibility Activities Through Twitter: From Topic Model Analysis to Indexes Measuring Communication Characteristics.

Social indicators research·2022
Same journal

Statistical framework for fully register based population counts.

Metron·2023
Same journal

Modeling of networked populations when data is sampled or missing.

Metron·2023
Same journal

A Bayesian piecewise linear model for the detection of breakpoints in housing prices.

Metron·2021
Same journal

Optimal forecasting accuracy using Lp-norm combination.

Metron·2021
Same journal

Editorial, special issue on "Advances in Robust Statistics".

Metron·2021
Same journal

The Impact of COVID-19 on Students' Marks: A Bayesian Hierarchical Modeling Approach.

Metron·2021
查看所有相关文章

相关实验视频

Updated: Jul 27, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.5K

推断与非概率样本和调查数据集成:一个科学映射研究研究.

Camilla Salvatore1,2

  • 1Department of Economics, Management and Statistics (DEMS), University of Milano-Bicocca, Milan, Italy.

Metron
|June 7, 2023
PubMed
概括
此摘要是机器生成的。

本研究分析了使用文本挖掘和文献计量分析进行调查数据整合和推断. 它确定了非概率抽样和大数据集成的当前趋势和未来研究方向.

关键词:
图书统计学分析新的数据来源 新的数据来源非概率样本是非概率样本.调查数据整合调查数据整合专题分析 专题分析

更多相关视频

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.4K
Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
12:53

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics

Published on: July 6, 2014

31.5K

相关实验视频

Last Updated: Jul 27, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.5K
Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM

Published on: October 11, 2016

13.4K
Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics
12:53

Identification of Protein Interaction Partners in Mammalian Cells Using SILAC-immunoprecipitation Quantitative Proteomics

Published on: July 6, 2014

31.5K

科学领域:

  • 统计 统计 统计 统计
  • 数据科学数据科学数据科学
  • 信息科学 信息科学 信息科学

背景情况:

  • 调查数据的整合和从非概率样本的推断越来越重要.
  • 经济效益推动了人们对将概率调查与辅助数据相结合的兴趣.
  • 像大数据这样的新兴数据源为统计推理带来了新的挑战.

研究的目的:

  • 描述和理解调查数据集成和推理研究的演变.
  • 确定当代研究趋势和未来的调查方向.
  • 提出一个研究议程,解决发现的差距.

主要方法:

  • 文本挖掘和出版物的文献计量分析.
  • 使用Scopus数据库检索相关文件.
  • 对1023份文件集合的分析.

主要成果:

  • 关于调查数据集成和推断的现有文献的描述.
  • 确定该领域当前的研究趋势.
  • 发现潜在的未来研究途径.

结论:

  • 该研究提供了对研究领域的全面概述.
  • 它强调需要对新出现的挑战进行进一步调查.
  • 一项拟议的研究议程旨在指导未来在这一领域的研究.