{"title":"Discussion of “Probability vs. Nonprobability Sampling: From the Birth of Survey\n Sampling to the Present Day” by Graham Kalton","authors":"R. Münnich","doi":"10.59170/stattrans-2023-033","DOIUrl":null,"url":null,"abstract":"Let me first thank Dr. Kalton for his amazing historical review of the development\n of survey sampling from its origin, contrasting purposive sampling, until now, where\n some elements of purposive sampling in terms of web or big data seem to supersede the\n well-elaborated theory of survey statistics. Shall the message be that we do not need\n any sampling courses at universities anymore, that official statistics should turn to\n modelling using data with unknown data generating processes, or actually even be\n substituted by (commercial) data krakens? Hardly so! Graham Kalton emphasises a modern\n thinking about the use of these new data sources which may also have some advantages and\n he urges future research on data integration methods using (very) different kinds of\n data while strongly taking quality aspects into account.","PeriodicalId":37985,"journal":{"name":"Statistics in Transition","volume":" ","pages":""},"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-2023-033","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
Let me first thank Dr. Kalton for his amazing historical review of the development
of survey sampling from its origin, contrasting purposive sampling, until now, where
some elements of purposive sampling in terms of web or big data seem to supersede the
well-elaborated theory of survey statistics. Shall the message be that we do not need
any sampling courses at universities anymore, that official statistics should turn to
modelling using data with unknown data generating processes, or actually even be
substituted by (commercial) data krakens? Hardly so! Graham Kalton emphasises a modern
thinking about the use of these new data sources which may also have some advantages and
he urges future research on data integration methods using (very) different kinds of
data while strongly taking quality aspects into account.
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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