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Statistics, New Empiricism and Society in the Era of Big Data
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Catalogue Information
Field name
Details
Dewey Class
330.015195
Title
Statistics, New Empiricism and Society in the Era of Big Data ([EBook] /) / by Giuseppe Arbia.
Author
Arbia, Giuseppe
Other name(s)
SpringerLink (Online service)
Edition statement
1st ed. 2021.
Publication
Cham : : Springer International Publishing : : Imprint: Springer, , 2021.
Physical Details
XI, 54 p. 7 illus., 1 illus. in color. : online resource.
Series
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 to Related Works
Subject References:
Big Data
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Econometrics
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Mathematics—Philosophy
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Philosophy of Mathematics
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Social sciences—Statistical methods
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Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
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Authors:
Arbia, Giuseppe
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author
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Corporate Authors:
SpringerLink (Online service)
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Series:
SpringerBriefs in Statistics
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Classification:
330.015195
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