PERRONE, GABRIELE
PERRONE, GABRIELE
DIPARTIMENTO DI SCIENZE STATISTICHE "PAOLO FORTUNATI"
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Parsimonious mixtures of seemingly unrelated contaminated normal regression models
2022 Gabriele Perrone; Gabriele Soffritti
Parsimonious mixtures of seemingly unrelated contaminated normal regression models
In corso di stampa Gabriele Perrone; Gabriele Soffritti
Parsimonious seemingly unrelated linear cluster-weighted models for contaminated data
2022 Gabriele Perrone; Gabriele Soffritti
Seemingly unrelated clusterwise linear regression for contaminated data
2022 Perrone G.; Soffritti G.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| Parsimonious mixtures of seemingly unrelated contaminated normal regression models | Gabriele Perrone; Gabriele Soffritti | 2022-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| Parsimonious mixtures of seemingly unrelated contaminated normal regression models | Gabriele Perrone; Gabriele Soffritti | 9999-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Parsimonious seemingly unrelated linear cluster-weighted models for contaminated data | Gabriele Perrone; Gabriele Soffritti | 2022-01-01 | - | - | 4.02 Riassunto (Abstract) | - |
| Seemingly unrelated clusterwise linear regression for contaminated data | Perrone G.; Soffritti G. | 2022-01-01 | STATISTICAL PAPERS | - | 1.01 Articolo in rivista | - |