9783030730291-3030730298-Statistics, New Empiricism and Society in the Era of Big Data (SpringerBriefs in Statistics)

Statistics, New Empiricism and Society in the Era of Big Data (SpringerBriefs in Statistics)

ISBN-13: 9783030730291
ISBN-10: 3030730298
Edition: 1st ed. 2021
Author: Giuseppe Arbia
Publication date: 2021
Publisher: Springer
Format: Paperback 65 pages
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Book details

ISBN-13: 9783030730291
ISBN-10: 3030730298
Edition: 1st ed. 2021
Author: Giuseppe Arbia
Publication date: 2021
Publisher: Springer
Format: Paperback 65 pages

Summary

Statistics, New Empiricism and Society in the Era of Big Data (SpringerBriefs in Statistics) (ISBN-13: 9783030730291 and ISBN-10: 3030730298), written by authors Giuseppe Arbia, was published by Springer in 2021. With an overall rating of 3.5 stars, it's a notable title among other Econometrics & Statistics (Economics, Databases & Big Data, History, Mathematics) books. You can easily purchase or rent Statistics, New Empiricism and Society in the Era of Big Data (SpringerBriefs in Statistics) (Paperback) from BooksRun, along with many other new and used Econometrics & Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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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