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This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a foundation for statistical inference. Covering essentials for advanced undergraduates and selected topics typically taught at the graduate level, its 700 problems - many computational - build understanding and skills.
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Principles of Statistical Analysis, Ery Arias-Castro
- Langue
- Année de publication
- 2022
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- (souple)
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- Langue
- Anglais
- Auteurs
- Ery Arias-Castro
- Éditeur
- Cambridge University Press
- Publié
- 2022
- Format
- souple
- ISBN10
- 1108747442
- ISBN13
- 9781108747448
- Séries
- Mots clés
- Nonfiction, Technologie & Ingénierie, Science et Mathématiques, Informatique & Internet, Mathématiques
- Description
- This concise course in principled data analysis for the mathematically literate uses survey sampling and designed experiments as a foundation for statistical inference. Covering essentials for advanced undergraduates and selected topics typically taught at the graduate level, its 700 problems - many computational - build understanding and skills.