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Generalized Hyperbolic Secant Distributions : With Applications to Finance / / by Matthias J. Fischer



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Autore: Fischer Matthias J Visualizza persona
Titolo: Generalized Hyperbolic Secant Distributions : With Applications to Finance / / by Matthias J. Fischer Visualizza cluster
Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
Edizione: 1st ed. 2014.
Descrizione fisica: 1 online resource (75 p.)
Disciplina: 332
Soggetto topico: Statistics
Social sciences - Mathematics
Statistical Theory and Methods
Statistics in Business, Management, Economics, Finance, Insurance
Mathematics in Business, Economics and Finance
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references at the end of each chapters.
Nota di contenuto: Preface -- Hyperbolic Secant Distributions -- The GSH Distribution Family and Skew Versions -- The NEF-GHS or Meixner Distribution Family -- The BHS Distribution Family -- The SHS and SASHS Distribution Family -- Application to Finance -- R-Code: Fitting a BHS Distribution.
Sommario/riassunto: Among the symmetrical distributions with an infinite domain, the most popular alternative to the normal variant is the logistic distribution as well as the Laplace or the double exponential distribution, which was first introduced in 1774. Occasionally, the Cauchy distribution is also used. Surprisingly, the hyperbolic secant distribution has led a charmed life, although Manoukian and Nadeau had already stated in 1988 that “... the hyperbolic-secant distribution ... has not received sufficient attention in the published literature, and may be useful for students and practitioners.” During the last few years, however, several generalizations of the hyperbolic secant distribution have become popular in the context of financial return data because of its excellent fit. Nearly all of them are summarized within this SpringerBrief.
Titolo autorizzato: Generalized hyperbolic secant distributions  Visualizza cluster
ISBN: 3-642-45138-1
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910300142103321
Lo trovi qui: Univ. Federico II
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Serie: SpringerBriefs in Statistics, . 2191-5458