Results 21 to 30 of about 14,393,463 (300)
Exponential families of mixed Poisson distributions [PDF]
, 2006 If I=(I1,…,Id) is a random variable on [0,∞)d with distribution μ(dλ1,…,dλd), the mixed Poisson distribution MP(μ) on View the MathML source is the distribution of (N1(I1),…,Nd(Id)) where N1,…,Nd are ordinary independent Poisson processes which are also ...
Letac, G. +9 more
core +1 more source
Fractal and Fractional, 2023 The model of multiple trapping into energy-distributed states is a successful tool to describe the transport of nonequilibrium charge carriers in amorphous semiconductors.
Fadila Serdouk +2 more
doaj +1 more source
Circulation, dispersion and hydrodynamic connectivity over the Scotian Shelf and adjacent waters [PDF]
, 2017 A nested-grid ocean circulation modelling system is used in this study to examine the circulation of surface waters over the Scotian Shelf and its adjacent waters. The modelling system consists of a coarse-resolution (1/12°) barotropic storm surge (outer)
Sui, Yi +3 more
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An application of exponential dispersion models in premium rating. [PDF]
Insurance: Mathematics and Economics, 1993 AbstractA practical method of allowing for covariates in compound Poisson modelling distributions is discussed.
openaire +1 more source
A Convergence Theorem for Bivariate Exponential Dispersion Models [PDF]
Journal of Mathematics and Statistics, 2019 Multivariate exponential dispersion models (MEDMs) were defined in 2013 by Jorgensen and Martinez. A particular case of MEDM is the bivariate Gamma model; in this article we prove that, under certain conditions, this is a limit distribution for MEDM generated by bivariate regularly varying measures, extending a previous result given by the ...
Lila Ricci, Gabriela Boggio
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Frequency-Domain Q-Compensated Reverse Time Migration Using a Stabilization Scheme
Remote Sensing, 2022 Seismic attenuation occurs during seismic wave propagation in a viscous medium, which will result in a poor image of subsurface structures. The attenuation compensation by directly amplifying the extrapolated wavefields may suffer from numerical ...
Xiong Ma +4 more
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Spatial Tweedie exponential dispersion models
, 2020 This paper proposes a general modeling framework that allows for uncertainty quantification at the individual covariate level and spatial referencing, operating withing a double generalized linear model (DGLM). DGLMs provide a general modeling framework allowing dispersion to depend in a link-linear fashion on chosen covariates.
Halder, Aritra +3 more
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Evaluation of Tweedie exponential dispersion model densities by Fourier inversion [PDF]
Statistics and Computing, 2007 The Tweedie family of distributions is a family of exponential dispersion models with power variance functions V(μ)=μ p for $p\not\in(0,1)$ . These distributions do not generally have density functions that can be written in closed form. However, they have simple moment generating functions, so the densities can be evaluated numerically by Fourier ...
Peter K. Dunn, Gordon K. Smyth
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EJNMMI Research, 2023 Background Kinetic modelling of dynamic PET typically requires knowledge of the arterial radiotracer concentration (arterial input function, AIF). Its accurate determination is very difficult in mice.
Juela Cufe +6 more
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Surface gravity waves on randomly irregular floor and the telegrapher’s equation
AIP Advances, 2021 The simplest model for the evolution of the mean-value of a surface gravity wave propagating in a random bottom has been connected with the telegrapher’s equation.
Manuel O. Cáceres
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