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Statistics, new empiricism and socie...
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Arbia, Giuseppe.
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Statistics, new empiricism and society in the era of big data
Record Type:
Electronic resources : Monograph/item
Title/Author:
Statistics, new empiricism and society in the era of big data/ by Giuseppe Arbia.
Author:
Arbia, Giuseppe.
Published:
Cham :Springer International Publishing : : 2021.,
Description:
xi, 54 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Big data. -
Online resource:
https://doi.org/10.1007/978-3-030-73030-7
ISBN:
9783030730307
Statistics, new empiricism and society in the era of big data
Arbia, Giuseppe.
Statistics, new empiricism and society in the era of big data
[electronic resource] /by Giuseppe Arbia. - Cham :Springer International Publishing :2021. - xi, 54 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..
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.
ISBN: 9783030730307
Standard No.: 10.1007/978-3-030-73030-7doiSubjects--Topical Terms:
2045508
Big data.
LC Class. No.: QA76.9.B45 / A735 2021
Dewey Class. No.: 005.7
Statistics, new empiricism and society in the era of big data
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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.
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Mathematics and Statistics (SpringerNature-11649)
based on 0 review(s)
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W9401969
電子資源
11.線上閱覽_V
電子書
EB QA76.9.B45 A735 2021
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