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Uncertainty Quantification Techniques in Statistics
| Uncertainty Quantification Techniques in Statistics |
| Autore | Kim Jong-Min |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 electronic resource (128 p.) |
| Soggetto non controllato |
Kullback–Leibler divergence
geometric distribution accuracy AUROC allele read counts mixture model low-coverage entropy gene-expression data SCAD data envelopment analysis LASSO high-throughput sandwich variance estimator adaptive lasso semiparametric regression ?1 lasso Laplacian matrix elastic net feature selection sea surface temperature gene expression data Skew-Reflected-Gompertz distribution lasso next-generation sequencing BH-FDR stochastic frontier model ?2 ridge geometric mean resampling Gompertz distribution adapative lasso group efficiency comparison sensitive attribute MCP probability proportional to size (PPS) sampling randomization device SIS Yennum et al.’s model ensembles |
| ISBN | 3-03928-547-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404091103321 |
Kim Jong-Min
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Wine Traceability
| Wine Traceability |
| Autore | Cravero Maria Carla |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (138 p.) |
| Soggetto non controllato |
87Sr/86Sr isotopic ratio
high-resolution mass spectrometry polyphenols red wine Primitivo data mining rare earth elements Amarone Raboso Tannat wines geological material vinification soil particle size metabolomics isotopes wine classification geographical origin fingerprinting feature selection wine authenticity support vector machines grapevine varietal identification and discrimination authenticity grape traceability IRMS Recioto geographical traceability geographic origin NMR sensory analyses Negro Amaro Chianti Classico wine ICP-MS markers multi-element composition wine bio-geochemical strategy |
| ISBN | 3-03921-769-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367746103321 |
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Cravero Maria Carla
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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