Results 11 to 20 of about 194 (157)
On composite length-biased exponential-Pareto distribution: Properties, simulation, and application in actuarial science [PDF]
Frontiers in Applied Mathematics and Statistics, 2023 The composite length-biased exponential-Pareto (CLBEP) distribution is a new composite distribution that is introduced in this article. This model's probability density function, moments, and quantiles, among other statistical characteristics, are ...
Moulouk Halima Benchettah +2 more
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Secante hiperbólica generalizada y un método de estimación de sus parámetros: máxima verosimilitud modificada [PDF]
Ingeniería y Ciencia, 2013 Diversas distribuciones generalizadas se desarrollan en la literatura estadística, entre ellas se encuentra la distribución Secante Hiperbólica Generalizada (SHG).
Luis Alejandro Másmela Caita +1 more
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Arab Journal of Mathematical Sciences, 2019 We give several new characterizations of completely monotone functions and Bernstein functions via two approaches: the first one is driven algebraically via elementary preserving mappings and the second one is developed in terms of the behavior of their ...
Rafik Aguech, Wissem Jedidi
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New bivariate probability models based on Panjer-type relations
, 2022 Large families of bivariate probability models based on Panjer-type relations are proposed. These relations are generated by differential equations of probability generating functions (p.g.fs), expressed by rational functions that incorporate ...
Cadena, Meitner +3 more
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On convergence of associative copulas and related results
Dependence Modeling, 2021 Triggered by a recent article establishing the surprising result that within the class of bivariate Archimedean copulas 𝒞ar different notions of convergence - standard uniform convergence, convergence with respect to the metric D1, and so-called weak ...
Kasper Thimo M. +2 more
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New results on perturbation-based copulas
Dependence Modeling, 2021 A prominent example of a perturbation of the bivariate product copula (which characterizes stochastic independence) is the parametric family of Eyraud-Farlie-Gumbel-Morgenstern copulas which allows small dependencies to be modeled.
Saminger-Platz Susanne +4 more
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Dependence Modeling, 2021 As a motivating problem, we aim to study some special aspects of the marginal distributions of the order statistics for exchangeable and (more generally) for minimally stable non-negative random variables T1, ..., Tr. In any case, we assume that T1, ...,
Foschi Rachele +2 more
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Bayesian Inference for SIR Epidemic Model with dependent parameters
Moroccan Journal of Pure and Applied Analysis, 2022 This paper is concerned with the Bayesian inference for the dependent parameters of stochastic SIR epidemic model in a closed population. The estimation framework involves the introduction of m − 1 latent data between every pair of observations. Kibble’s
Qaffou Abdelaziz +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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Dependence Modeling, 2018 Williamson’s integral representation of n-monotone functions on the half-line is generalized to several dimensions. This leads to a characterization of multivariate survival functions with multiply ℓ1- symmetry.
Ressel Paul
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