Approximation methods in probability theory / Vydas Cekanavicius

• Autore: Cekanavicius, Vydas
• Pubblicazione: [Cham], : Springer, 2016
• Titolo uniforme: Approximation methods in probability theory
• Descrizione fisica: XII, 274 p. ; 24 cm
• Soggetto topico: 60G50 - Sums of independent random variables; random walks [MSC 2020]; 41A25 - Rate of convergence, degree of approximation [MSC 2020]; 60Fxx - Limit theorems in probability theory [MSC 2020]; 60E10 - Characteristic functions; other transforms [MSC 2020]; 62E20 - Asymptotic distribution theory in statistics [MSC 2020]; 41A27 - Inverse theorems in approximation theory [MSC 2020]
• Soggetto non controllato: Characteristic function; Compound distribution; Inversion formula; Kerstan's method; M-dependent variables; Non-uniform estimates; Smoothing inequalities; Stein’s method; Total variation; Triangle function
• Titolo autorizzato: Approximation methods in probability theory
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0114451
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://dx.doi.org/10.1007/978-3-319-34072-2
• Serie: Universitext Berlin [etc] . -Springer