Comments on „Probability vs. Nonprobability Sampling: From the Birth of Survey Sampling to the Present Day” by Graham Kalton

Q4 Mathematics

Statistics in Transition Pub Date : 2023-06-13 DOI:10.59170/stattrans-2023-031

R. Lehtonen

引用次数: 0

Abstract

I would like to congratulate Professor Graham Kalton for his significant and inspiring article entitled as "Probability vs. Nonprobability Sampling: From the Birth of Survey Sampling to the Present Day". The article provides an elegant overview of the history of survey sampling, covering the purposive approaches that dominated the sampling field in the early days but from the 1940s, at least in official statistics, were gradually replaced entirely by probability-based approaches. Today we may be facing a paradigm shift again, but the direction is the opposite. Non-probability-based approaches are becoming viable, if not the only option, in fields that are moving towards big data and other new data sources and new methodological approaches.

查看原文本刊更多论文

评格雷厄姆·卡尔顿《概率与非概率抽样:从抽样调查的诞生到现在

我要祝贺Graham Kalton教授发表了一篇重要而鼓舞人心的文章，题为“概率与非概率抽样:从抽样调查的诞生到现在”。这篇文章对调查抽样的历史进行了一个优雅的概述，涵盖了早期主导抽样领域的有目的方法，但从20世纪40年代开始，至少在官方统计中，逐渐被基于概率的方法完全取代。今天，我们可能再次面临范式转变，但方向是相反的。在转向大数据和其他新数据源和新方法的领域，非概率方法即使不是唯一的选择，也正在变得可行。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Statistics in Transition Decision Sciences-Statistics, Probability and Uncertainty

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

9 weeks

期刊介绍： Statistics in Transition (SiT) is an international journal published jointly by the Polish Statistical Association (PTS) and the Central Statistical Office of Poland (CSO/GUS), which sponsors this publication. Launched in 1993, it was issued twice a year until 2006; since then it appears - under a slightly changed title, Statistics in Transition new series - three times a year; and after 2013 as a regular quarterly journal." The journal provides a forum for exchange of ideas and experience amongst members of international community of statisticians, data producers and users, including researchers, teachers, policy makers and the general public. Its initially dominating focus on statistical issues pertinent to transition from centrally planned to a market-oriented economy has gradually been extended to embracing statistical problems related to development and modernization of the system of public (official) statistics, in general.