Foundations of Statistics for Data Scientists: With R and Python

DOI10.1080/01621459.2022.2104726OpenAlexW4287447889WikidataQ114101021 ScholiaQ114101021MaRDI QIDQ5881160

Nicholas J. Horton

Publication date: 9 March 2023

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/01621459.2022.2104726

zbMATH Keywords

mathematical statistics

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to statistics (62-01) External book reviews (00A17) Statistical aspects of big data and data science (62R07)

Uses Software

• Python
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Cites Work

• Unnamed Item
• The foundations of statistical science: a history of textbook presentations
• Computer Age Statistical Inference
• I Hear, I Forget. I Do, I Understand: A Modified Moore-Method Mathematical Statistics Course
• What are the Most Important Statistical Ideas of the Past 50 Years?

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