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Uncertainty Quantification with R: Bayesian Methods
International Series in Operations Research & Management Science, 352
Souza de Cursi, Eduardo
- 1st ed. 2024 . , 2024
Link:
https://doi.org/10.1007/978-3-031-48208-3
RT T1 <Title>Uncertainty Quantification with R: Bayesian Methods</Title> UL https://suche.suub.uni-bremen.de/peid=springer-978-3-031-48208-3&Exemplar=1&LAN=DE A1 Souza de Cursi, Eduardo NO 1st ed. 2024 PB Springer Nature Switzerland YR 2024 NO 1 Online-Ressource (486 S.) T3 International Series in Operations Research & Management Science, 352 SN 9783031482083 SN 9783031482076 SN 9783031482090 SN 9783031482106 K1 Operations research K1 Production management K1 Probabilities K1 Mathematical optimization K1 Statistics K1 Operations Research and Decision Theory K1 Operations Management K1 Applied Probability K1 Discrete Optimization K1 Bayesian Inference LK http://dx.doi.org/https://doi.org/10.1007/978-3-031-48208-3 DO https://doi.org/10.1007/978-3-031-48208-3 SF ELIB - SuUB Bremen
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