Inference with non-probability samples and survey data integration: a science mapping study.

IF 0.7 Q3 STATISTICS & PROBABILITY
Camilla Salvatore
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引用次数: 1

Abstract

In recent years, survey data integration and inference based on non-probability samples have gained considerable attention. Because large probability-based samples can be cost-prohibitive in many instances, combining a probabilistic survey with auxiliary data is appealing to enhance inferences while reducing the survey costs. Also, as new data sources emerge, such as big data, inference and statistical data integration will face new challenges. This study aims to describe and understand the evolution of this research field over the years with an original approach based on text mining and bibliometric analysis. In order to retrieve the publications of interest (books, journal articles, proceedings, etc.), the Scopus database is considered. A collection of 1023 documents is analyzed. Through the use of such methodologies, it is possible to characterize the literature and identify contemporary research trends as well as potential directions for future investigation. We propose a research agenda along with a discussion of the research gaps which need to be addressed.

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非概率样本推理和调查数据整合:一项科学制图研究。
近年来,基于非概率样本的调查数据集成与推理得到了广泛关注。由于在许多情况下,基于大概率的样本可能成本过高,因此将概率调查与辅助数据相结合有助于在降低调查成本的同时增强推断。此外,随着大数据等新数据源的出现,推理和统计数据集成将面临新的挑战。本研究旨在通过基于文本挖掘和文献计量分析的独创方法来描述和理解这一研究领域多年来的演变。为了检索感兴趣的出版物(书籍、期刊文章、论文集等),考虑使用Scopus数据库。分析了1023个文档的集合。通过使用这些方法,可以对文献进行表征,确定当代研究趋势以及未来研究的潜在方向。我们提出了一个研究议程,同时讨论了需要解决的研究差距。
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来源期刊
Metron-International Journal of Statistics
Metron-International Journal of Statistics STATISTICS & PROBABILITY-
CiteScore
1.60
自引率
0.00%
发文量
11
期刊介绍: METRON welcomes original articles on statistical methodology, statistical applications, or discussions of results achieved by statistical methods in different branches of science.
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