Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications : Selected Contributions from SimStat 2019 and Invited Papers / Jürgen Pilz, Viatcheslav B. Melas, Arne Bathke editors

• Pubblicazione: Cham, : Springer, 2023
• Descrizione fisica: x, 265 p. : ill. ; 24 cm
• Soggetto topico: 00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]; 62-XX - Statistics [MSC 2020]; 62Kxx - Design of statistical experiments [MSC 2020]; 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020]; 90B22 - Queues and service in operations research [MSC 2020]; 90B25 - Reliability, availability, maintenance, inspection in operations research [MSC 2020]
• Soggetto non controllato: Applications in engineering; Applications in the life sciences; Design of experiments; Experimental design; Inventory Analysis; Machine learning; Reliability and Queueing Theory; Simulation in Statistics; Statistical computing; Statistical learning; Statistical modeling; Stochastic Modelling in Statistics; Stochastic simulation
• Persona (resp. second.): Bathke, Arne C.; Melas, Viatcheslav B.; Pilz, Jürgen
• Titolo autorizzato: Statistical Modeling and Simulation for Experimental Design and Machine Learning Applications
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00279049
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-031-40055-1
• Serie: Contributions to Statistics Berlin [etc.] . -Springer