Elements of Copula Modeling with R / / by Marius Hofert, Ivan Kojadinovic, Martin Mächler, Jun Yan |
Autore | Hofert Marius |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (274 pages) |
Disciplina | 519.535 |
Collana | Use R! |
Soggetto topico |
Statistics
Economics, Mathematical Applied mathematics Engineering mathematics Computer software R (Computer program language) Statistics for Business, Management, Economics, Finance, Insurance Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Statistics and Computing/Statistics Programs Quantitative Finance Mathematical and Computational Engineering Mathematical Software |
ISBN | 3-319-89635-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Introduction -- Copulas -- Classes and Families -- Estimation -- Graphical Diagnostics, Tests and Model Selection -- Ties, Time Series and Regression -- R and Package Versions -- References -- Index. |
Record Nr. | UNINA-9910309664603321 |
Hofert Marius
![]() |
||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Situation Awareness for Smart Distribution Systems |
Autore | Ge Leijiao |
Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica | 1 electronic resource (214 p.) |
Soggetto topico |
Technology: general issues
History of engineering & technology |
Soggetto non controllato |
community integrated energy system
energy management user dominated demand side response conditional value-at-risk electric heating load forecasting thermal comfort attention mechanism LSTM neural network smart distribution network situation awareness high-quality operation and maintenance critical technology comprehensive framework distributionally robust optimization (DRO) integrated energy system (IES) joint chance constraints linear decision rules (LDRs) Wasserstein distance load disaggregation denoising auto-encoder REDD dataset TraceBase dataset machine learning secondary equipment CNN short text classification electric vehicle short-term load forecasting convolutional neural network temporal convolutional network climate factors correlation analysis sustainable wind-PV-hydrogen-storage microgrid power-to-hydrogen receding horizon optimization storage photovoltaic (PV) system DC series arc fault power spectrum estimation attentional mechanism lightweight convolutional neural network capacity configuration wind-photovoltaic-thermal power system carbon emission multi-objective optimization inertia security region |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910580204303321 |
Ge Leijiao
![]() |
||
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|