Bayesian Statistical Methods
Brian J. (N.C. State University) Reich-Sujit K. Ghosh
Engels | 17-02-2026 | 348 pagina's
9781032486321
Hardback
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This book provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. Compared to others, it is more focused on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models.
Beschrijving
This book provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. Compared to others, it is more focused on Bayesian methods applied routinely in practice including multiple linear regression, mixed effects models and generalized linear models.
Details
| EAN : | 9781032486321 |
| Uitgever : | Taylor & Francis |
| Publicatie datum : | 17-02-2026 |
| Uitvoering : | Hardback |
| Taal/Talen : | Engels |
| Status : | POD (Beschikbaar als print-on-demand.) |
| Aantal pagina's : | 348 |
| Reeks : | Chapman & Hall/CRC Texts in Statistical Science |