Results 11 to 20 of about 56 (55)
Dependence Modeling, 2020 We first review an approach that had been developed in the past years to introduce concepts of “bivariate ageing” for exchangeable lifetimes and to analyze mutual relations among stochastic dependence, univariate ageing, and bivariate ageing.
Nappo Giovanna, Spizzichino Fabio
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A sharp inequality for Kendall’s τ and Spearman’s ρ of Extreme-Value Copulas
Dependence Modeling, 2018 We derive a new (lower) inequality between Kendall’s τ and Spearman’s ρ for two-dimensional Extreme-Value Copulas, show that this inequality is sharp in each point and conclude that the comonotonic and the product copula are the only Extreme-Value ...
Trutschnig Wolfgang, Mroz Thomas
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Polynomial bivariate copulas of degree five: characterization and some particular inequalities
Dependence Modeling, 2021 Bivariate polynomial copulas of degree 5 (containing the family of Eyraud-Farlie-Gumbel-Morgenstern copulas) are in a one-to-one correspondence to certain real parameter triplets (a, b, c), i.e., to some set of polynomials in two variables of degree 1: p(
Šeliga Adam +5 more
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On extended type I generalized logistic distribution
International Journal of Mathematics and Mathematical Sciences, Volume 2004, Issue 57, Page 3069-3074, 2004., 2004 We consider a form of generalized logistic distribution which is called extended type I generalized logistic distribution. Some theorems that relate the distribution to some other statistical distributions are established. A possible application of one of the theorems is included.
A. K. Olapade
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International Journal of Mathematics and Mathematical Sciences, Volume 2003, Issue 9, Page 587-592, 2003., 2003 We give a new characterization of inverse Gaussian distributions using the regression of a suitable statistic based on a given random sample. A corollary of this result is a characterization of inverse Gaussian distribution based on a conditional joint density function of the sample. Application of this corollary as a transformation in the procedure to
Khoan T. Dinh +2 more
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Maximum asymmetry of copulas revisited
Dependence Modeling, 2018 Motivated by the nice characterization of copulas A for which d∞(A, At) is maximal as established independently by Nelsen [11] and Klement & Mesiar [7], we study maximum asymmetry with respect to the conditioning-based metric D1 going back to Trutschnig [
Kamnitui Noppadon +2 more
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Stability of a characterization of normal distributions based on the first two conditional moments
International Journal of Mathematics and Mathematical Sciences, Volume 23, Issue 10, Page 663-673, 2000., 2000 A characterization of normal distributions of two independent random variables X and Y with a finite E[X2] based on the linearity of E[X | X + Y] and the homoscedasticity of var[X | X + Y] given by Rao (1976) is proved to be stable.
Truc T. Nguyen, Khoan T. Dinh
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Some properties and applications of the stuttering generalized waring distribution
International Journal of Mathematics and Mathematical Sciences, Volume 12, Issue 3, Page 531-537, 1989., 1989 The Stuttering Generalized Waring Distribution arises in connection with sampling from an urn that contains balls of two colours (black and white) and it can be thought of as an intermingling of generalized Waring streams (Panaretos and Xekalaki [4]). Because of its application potential a study of its properties would be worthwhile.
J. Panaretos
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CMPH: a multivariate phase-type aggregate loss distribution
Dependence Modeling, 2017 We introduce a compound multivariate distribution designed for modeling insurance losses arising from different risk sources in insurance companies.
Ren Jiandong, Zitikis Ricardas
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Regresión Lineal con Errores no Normales: Secante Hiperbólica Generalizada
Ingeniería y Ciencia, 2015 En este trabajo se presenta un estudio del modelo de regresión lineal del tipo y = Θx+e, donde el error tiene distribución Secante Hiperbólica Generalizada (SHG).
Álvaro Alexander Burbano Moreno +1 more
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