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This book offers a comprehensive foundation in the mathematics essential for advanced statistical methods. It covers key topics such as matrices, linear algebra, vector geometry, calculus, and probability theory, alongside common probability distributions. The text also explores statistical estimation and inference, including both likelihood-based and Bayesian approaches. Concluding with a practical application in linear least-squares regression, it equips readers with the mathematical tools necessary for deeper statistical analysis.
Nákup knihy
A Mathematical Primer for Social Statistics, John Fox
- Jazyk
- Rok vydania
- 2021
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- Titul
- A Mathematical Primer for Social Statistics
- Jazyk
- anglicky
- Autori
- John Fox
- Vydavateľ
- SAGE Publications Inc
- Rok vydania
- 2021
- Väzba
- mäkká
- Počet strán
- 256
- ISBN13
- 9781071833209
- Kategórie
- Spoločenské vedy, Politológia / Politika
- Anotácia
- This book offers a comprehensive foundation in the mathematics essential for advanced statistical methods. It covers key topics such as matrices, linear algebra, vector geometry, calculus, and probability theory, alongside common probability distributions. The text also explores statistical estimation and inference, including both likelihood-based and Bayesian approaches. Concluding with a practical application in linear least-squares regression, it equips readers with the mathematical tools necessary for deeper statistical analysis.