The role of Statistics in the era of big data: Crucial, critical and under-valued
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DOI: 10.1016/j.spl.2018.02.050
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- Jerome H. Friedman, 2001. "The Role of Statistics in the Data Revolution?," International Statistical Review, International Statistical Institute, vol. 69(1), pages 5-10, April.
- Christophe Giraud & Clément Calenge & Camille Coron & Romain Julliard, 2016. "Capitalizing on opportunistic data for monitoring relative abundances of species," Biometrics, The International Biometric Society, vol. 72(2), pages 649-658, June.
- Ronald L. Wasserstein & Nicole A. Lazar, 2016. "The ASA's Statement on p -Values: Context, Process, and Purpose," The American Statistician, Taylor & Francis Journals, vol. 70(2), pages 129-133, May.
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- Gupta, Shivam & Mateu, Jorge & Degbelo, Auriol & Pebesma, Edzer, 2018. "Quality of life, big data and the power of statistics," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 101-104.
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Keywords
Data; Sampling; Variability; Inference; Uncertainty;All these keywords.
Statistics
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