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Statistics, new empiricism and socie...
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Arbia, Giuseppe.
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 databy 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$q(electronic bk.)
Statistics, new empiricism and society in the era of big data
Arbia, Giuseppe.
Statistics, new empiricism and society in the era of big data
[electronic resource] /by Giuseppe Arbia. - Cham :Springer International Publishing :2021. - xi, 54 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in statistics,2191-544X. - SpringerBriefs in statistics..
This book reveals the myriad aspects of Big Data collection and analysis, by defining and clarifying the meaning of Big Data and its unique characteristics in a non-technical and easy-to-follow way. Moreover, it discusses critical issues and problems related to the Big Data revolution and their implications for both Statistics as a discipline and for our everyday lives. The author identifies various problems and limitations in the quantitative analysis of Big Data, with regard to e.g. its volume, velocity and variety, as well as its reliability and veridicity. Dedicated chapters focus on the epistemological aspects of data-based knowledge and ethical aspects of the use of Big Data, while also addressing paradigmatic cases such as Cambridge Analytica and the use of data from social networks to influence election outcomes.
ISBN: 9783030730307$q(electronic bk.)
Standard No.: 10.1007/978-3-030-73030-7doiSubjects--Topical Terms:
609582
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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電子館藏
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000000196710
電子館藏
1圖書
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EB QA76.9.B45 A664 2021 2021
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1 records • Pages 1 •
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https://doi.org/10.1007/978-3-030-73030-7
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