Applying statistical thinking to `big data' problems

DOI10.1002/WICS.1306zbMATH Open1545.62061MaRDI QIDQ6604403

Roger W. Hoerl, Richard D. De Veaux, Ronald D. Snee

Publication date: 12 September 2024

Published in: Wiley Interdisciplinary Reviews. WIREs Computational Statistics (Search for Journal in Brave)

zbMATH Keywords

data miningmachine learninganalyticsstatistical engineering

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Cites Work

• Deriving chemosensitivity from cell lines: forensic bioinformatics and reproducible research in high-throughput biology
• How to lie with bad data
• Post-financial meltdown: What do the services industries need from us now?
• Validation of Regression Models: Methods and Examples
• Data Science: an Action Plan for Expanding the Technical Areas of the Field of Statistics
• The Elements of Statistical Learning
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Related Items (2)

Discussion of: ``A review of data science in business and industry and a future view by Grazia Vicario and Shirley Coleman ⋮ Rejoinder to the discussion of: ``A review of data science in business and industry and a future view by G. Vicario and S. Coleman

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