- Autor
- Münnich Ralf (Trier University, Germany)
- Tytuł
- Discussion of "Probability vs. Nonprobability Sampling: From the Birth of Survey Sampling to the Present Day" by Graham Kalton
- Źródło
- Statistics in Transition, 2023, vol. 24, nr 3, s. 39-42, bibliogr. 3 poz.
- Słowa kluczowe
- Badania ankietowe, Badania statystyczne, Badanie Internetu, Metodologia badań statystycznych
Questionnaire survey, Statistical surveys, Internet survey, Methodology of statistical surveys - Uwagi
- summ.
- Abstrakt
- Within the last decade, we could observe many new uses of classical data like administrative data and new types of data stemming from internet sources or technical measurement processes such as satellite, mobile phone or scanner data. Already the availability of these new data leads to a huge increase in developing new methodologies and uses. Indeed, official statistics also forced research on new data types, such as scanner data or web-scraped data and others. In Europe, these statistics are often called experimental statistics to emphasise that these statistics cannot (yet) be evaluated using the classical quality concepts, as, e.g. proposed within the European Statistics Code of Practice. (fragment of text)
- Dostępne w
- Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka - Pełny tekst
- Pokaż
- Bibliografia
-
- Burgard, J. P., Münnich, R., & Rupp, M., (2020). Qualitätszielfunktionen für stark variierende Gemeindegrößen im Zensus 2021. AStA Wirtschafts-und Sozialstatistisches Archiv, 14(1), pp. 5-65. With discussion.
- Münnich, R., Articus, C., (2022): Big Data und Qualität - ist viel gleich gut? Pp 85-101. In: Wawrzyniak, B., Herter, M. (Ed.): Neue Dimensionen in Data Science. Wichmann.
- Münnich, R., Gabler, S., Ganninger, M., Burgard, J. P.; Kolb, J.-P., (2012): Stichprobenoptimierung und Schätzung im Zensus 2011. Destatis: Wiesbaden, Statistik und Wissenschaft, Vol. 21, https://www.zensus2011.de/SharedDocs/Downloads/DE/Publikationen/Monografien_Archiv/2012_07_Destatis_Stochprobenoptimierung_und_Schaetzung_im_Zensus.pdf?__blob=publicationFile&v=12
- Cytowane przez
- ISSN
- 1234-7655
- Język
- eng
- URI / DOI
- http://dx.doi.org/10.59170/stattrans-2023-033
