---

＜電子ブック＞
Statistics, New Empiricism and Society in the Era of Big Data / by Giuseppe Arbia
(SpringerBriefs in Statistics. ISSN:21915458)

版	1st ed. 2021.
出版者	Cham : Springer International Publishing : Imprint: Springer
出版年	2021
本文言語	英語
大きさ	XI, 54 p. 7 illus., 1 illus. in color : online resource
著者標目	*Arbia, Giuseppe author SpringerLink (Online service)
件　名	LCSH:Econometrics LCSH:Social sciences -- Statistical methods  全ての件名で検索 LCSH:Big data LCSH:Mathematics -- Philosophy  全ての件名で検索 FREE:Econometrics FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy FREE:Big Data FREE:Philosophy of Mathematics
一般注記	This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revolution and their implications for both Statistics as a discipline and for our everyday lives. The author identifies various problems and limitations in the quantitative analysis of Big Data, with regard to e.g. its volume, velocity and variety, as well as its reliability and veridicity. Dedicated chapters focus on the epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes HTTP:URL=https://doi.org/10.1007/978-3-030-73030-7

 類似資料