| Dewey Class |
330.015195 |
| Titel |
Statistics, New Empiricism and Society in the Era of Big Data ([EBook] /) / by Giuseppe Arbia. |
| Verfasser |
Arbia, Giuseppe |
| Other name(s) |
SpringerLink (Online service) |
| Edition statement |
1st ed. 2021. |
| Veröffentl |
Cham : : Springer International Publishing : : Imprint: Springer, , 2021. |
| Physical Details |
XI, 54 p. 7 illus., 1 illus. in color. : online resource. |
| Reihe |
SpringerBriefs in Statistics 2191-5458 |
| ISBN |
9783030730307 |
| Summary Note |
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.: |
| Mode of acces to digital resource |
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
https://doi.org/10.1007/978-3-030-73030-7 |
| LINKS ZU 'VERWANDTEN WERKEN |
Schlagwörter: .
Big Data .
Econometrics .
Mathematics—Philosophy .
Philosophy of Mathematics .
Social sciences—Statistical methods .
Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy .
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