Univariate Stable Distributions : Models for Heavy Tailed Data / John P. Nolan

• Autore: Nolan, John P.
• Pubblicazione: Cham, : Springer, 2020
• Titolo uniforme: Univariate Stable Distributions
• Descrizione fisica: xv, 333 p. : ill. ; 24 cm
• Soggetto topico: 60F05 - Central limit and other weak theorems [MSC 2020]; 60E07 - Infinitely divisible distributions; stable distributions [MSC 2020]; 62F12 - Asymptotic properties of parametric estimators [MSC 2020]; 62F30 - Parametric inference under constraints [MSC 2020]; 62F35 - Robustness and adaptive procedures (parametric inference) [MSC 2020]
• Soggetto non controllato: Brownian Motion; Extreme value estimation; Generalized central limit theorem; Heavy tailed data; Heavy tailed data distributions; Multivariate stable dsitribution; Pareto distributions; Signal processing algorithm; Stable Distributions; Stable Laws; Stable filter; Stable random variables; Stable regression; Univariate estimate; Univariate stable distributions
• Titolo autorizzato: Univariate Stable Distributions
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: VAN0250024
• Lo trovi qui: Univ. Vanvitelli
• Localizzazioni e accesso elettronico: http://doi.org/10.1007/978-3-030-52915-4
• Serie: Springer series in operations research Berlin [etc.] . -Springer