Vai al contenuto principale della pagina

Symmetric and Asymmetric Distributions : Theoretical Developments and Applications



(Visualizza in formato marc)    (Visualizza in BIBFRAME)

Autore: Gómez Déniz Emilio Visualizza persona
Titolo: Symmetric and Asymmetric Distributions : Theoretical Developments and Applications Visualizza cluster
Pubblicazione: Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020
Descrizione fisica: 1 electronic resource (146 p.)
Soggetto topico: Humanities
Social interaction
Soggetto non controllato: positive and negative skewness
ordering
fitting distributions
Epsilon-skew-Normal
Epsilon-skew-Cauchy
bivariate densities
generalized Cauchy distributions
asymmetric bimodal distribution
bimodal
maximum likelihood
slashed half-normal distribution
kurtosis
likelihood
EM algorithm
flexible skew-normal distribution
skew Birnbaum–Saunders distribution
bimodality
maximum likelihood estimation
Fisher information matrix
maximum likelihood estimates
type I and II censoring
skewness coefficient
Weibull censored data
truncation
half-normal distribution
probabilistic distribution class
normal distribution
identifiability
moments
power-normal distribution
Persona (resp. second.): Gómez DénizEmilio
Sommario/riassunto: In recent years, the advances and abilities of computer software have substantially increased the number of scientific publications that seek to introduce new probabilistic modelling frameworks, including continuous and discrete approaches, and univariate and multivariate models. Many of these theoretical and applied statistical works are related to distributions that try to break the symmetry of the normal distribution and other similar symmetric models, mainly using Azzalini's scheme. This strategy uses a symmetric distribution as a baseline case, then an extra parameter is added to the parent model to control the skewness of the new family of probability distributions. The most widespread and popular model is the one based on the normal distribution that produces the skewed normal distribution. In this Special Issue on symmetric and asymmetric distributions, works related to this topic are presented, as well as theoretical and applied proposals that have connections with and implications for this topic. Immediate applications of this line of work include different scenarios such as economics, environmental sciences, biometrics, engineering, health, etc. This Special Issue comprises nine works that follow this methodology derived using a simple process while retaining the rigor that the subject deserves. Readers of this Issue will surely find future lines of work that will enable them to achieve fruitful research results.
Altri titoli varianti: Symmetric and Asymmetric Distributions
Titolo autorizzato: Symmetric and Asymmetric Distributions  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910557299303321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui