{"title":"Comments on „Probability vs. Nonprobability Sampling: From the Birth of Survey\n Sampling to the Present Day” by Graham Kalton","authors":"R. Lehtonen","doi":"10.59170/stattrans-2023-031","DOIUrl":null,"url":null,"abstract":"I would like to congratulate Professor Graham Kalton for his significant and\n inspiring article entitled as \"Probability vs. Nonprobability Sampling: From the\n Birth of Survey Sampling to the Present Day\". The article provides an elegant\n overview of the history of survey sampling, covering the purposive approaches that\n dominated the sampling field in the early days but from the 1940s, at least in official\n statistics, were gradually replaced entirely by probability-based approaches. Today we\n may be facing a paradigm shift again, but the direction is the opposite.\n Non-probability-based approaches are becoming viable, if not the only option, in fields\n that are moving towards big data and other new data sources and new methodological\n approaches.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Statistics in Transition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59170/stattrans-2023-031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
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.
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.
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