Temat: data sources - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Big data w statystyce publicznej – nadzieje, osiągnięcia, wyzwania i zagrożenia
Big data in official statistics – hopes, achievements, challenges and risks
Autorzy:: Beręsewicz, Maciej
Szymkowiak, Marcin
Powiązania:: https://bibliotekanauki.pl/articles/425038.pdf
Data publikacji:: 2015
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: big data
official statistics
internet data sources
Opis:: The main purpose of the article is to describe the state of the art in using big data in official statistics. The article presents selected examples of how data from mobile operators, sensors, social media or scanners are used by national statistical offices. The authors also identify chances, challenges and risks related to the use of big data in the field of official statistics.
Źródło:: Econometrics. Ekonometria. Advances in Applied Data Analytics; 2015, 2 (48); 9-22
1507-3866
Pojawia się w:: Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Small area statistics and quality management – the Polish perspective
Autorzy:: Kordos, Jan
Powiązania:: https://bibliotekanauki.pl/articles/434096.pdf
Data publikacji:: 2018
Wydawca:: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:: efficiency of decision-making
the quality of the information
model
the acronym GIGO
statistics of small areas
quality management
sources of statistical data
Opis:: The author begins with a discussion of the main factors affecting the efficiency of decision-making, and in particular the quality of the information used, the models applied and the knowledge of decision-makers in the field of the implementation. First, we considered the acronym GIGO (“garbage in garbage out”) used in computer science, expressing the impact of the relationship between the quality of the information used in the model, and their outcome, and then the Box aphorism about the usefulness of models (“All models are wrong but some are useful”). Particular attention is paid to the statistics of small areas, discussing their source, size, and mainly their quality, giving the current definition of data quality. Next the author provided the development of estimation methods for small areas, apart from mathematical formulas and limited to the presentation of some flowcharts. The author then discusses the role of small area statistics in quality management, focusing on the evaluation of their quality, which is of particular importance when making decisions. The paper is prepared from the Polish perspective, referring mainly to Polish statisticians and some relevant publications in English.
Źródło:: Śląski Przegląd Statystyczny; 2018, 16 (22); 37-54
1644-6739
Pojawia się w:: Śląski Przegląd Statystyczny
Dostawca treści:: Biblioteka Nauki

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