Large Sample Techniques for Statistics / Jiming Jiang

• Autore: Jiang, Jiming
• Pubblicazione: Cham, : Springer, 2022
• Edizione: 2. ed
• Descrizione fisica: xv, 685 p. : ill. ; 24 cm
• Soggetto topico: 60-XX - Probability theory and stochastic processes [MSC 2020]; 60Fxx - Limit theorems in probability theory [MSC 2020]; 60G44 - Martingales with continuous parameter [MSC 2020]; 60J20 - Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) [MSC 2020]; 62-XX - Statistics [MSC 2020]; 62E20 - Asymptotic distribution theory in statistics [MSC 2020]; 62G20 - Asymptotic properties of nonparametric inference [MSC 2020]
• Soggetto non controllato: Approximations; Asymptotic Theory; Large sample theory; Limit Theorems; Mathematical statistics; Parametric statistics; Random matrix theory; Random variables; Statistical Applications
• Titolo autorizzato: Large sample techniques for statistics
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN00277746
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: https://doi.org/10.1007/978-3-030-91695-4
• Serie: Springer texts in statistics Berlin [etc.] . -Springer , 1985-