Results 11 to 20 of about 366,433 (291)
A Generator for Generalized Inverse Gaussian Distributions
, 2022 We propose a new generator for the generalized inverse Gaussian (GIG) distribution by decomposing the density of GIG into two components. The first component is a truncated inverse Gamma density, in order to sample from which we improve the traditional inverse CDF method.
Zhang, Xiaozhu, Reiter, Jerome P.
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Discrimination between Some Over Dispersed Count Distributions
ASM Science Journal, 2021 The Poisson inverse Gaussian and generalized Poisson distributions are widely used in modelling overdispersed count data which are commonly found in healthcare, insurance, engineering, econometric and ecology.
Yook-Ngor Phang +2 more
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Dianxin kexue, 2023 In versatile video coding (VVC), a variety of advanced coding tools work together to achieve excellent coding performance.Compared with high efficient video coding (HEVC), the transform coefficient distribution (TCD) of VVC has sharper peaks.In order to ...
Yiyin GU, Hongkui WANG, Haibin YIN
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Axioms, 2023 We consider five types of entropies for Gaussian distribution: Shannon, Rényi, generalized Rényi, Tsallis and Sharma–Mittal entropy, establishing their interrelations and their properties as the functions of parameters.
Anatoliy Malyarenko +3 more
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Estimation from quantized Gaussian measurements: when and how to use dither [PDF]
, 2019 Subtractive dither is a powerful method for removing the signal dependence of quantization noise for coarsely quantized signals. However, estimation from dithered measurements often naively applies the sample mean or midrange, even when the total noise ...
Dawson, Robin M. A. +2 more
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A Complex Generalized Gaussian Distribution— Characterization, Generation, and Estimation [PDF]
IEEE Transactions on Signal Processing, 2010 The generalized Gaussian distribution (GGD) provides a flexible and suitable tool for data modeling and simulation, however the characterization of the complex-valued GGD, in particular generation of samples from a complex GGD have not been well defined in the literature.
M. Novey, T. Adali, A. Roy
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Austrian Journal of Statistics, 2016 Recently, a generalization of the Pearson differential equation has appeared in the literature, from which a vast majority of continuous probability density functions (pdf’s) can be generated, known as the generalized Pearson system of continuous ...
Mohammad Shakil +2 more
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The Prediction of the Maternal and Fetal Blood Lead Level via Generalized Linear Model [PDF]
المجلة العراقية للعلوم الاحصائية, 2009 Generalized linear models (GLMs) are generalization of the linear regression models, which allow fitting regression models to response variable that is non normal and follows a general exponential family.
Zakaria Y. AL-Jammal
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Improved Particle Filter for Non-Gaussian Forecasting-aided State Estimation
Journal of Modern Power Systems and Clean Energy, 2023 Gaussian assumptions of non-Gaussian noises hinder the improvement of state estimation accuracy. In this paper, an asymmetric generalized Gaussian distribution (AGGD), as a unified representation of various unimodal distributions, is applied to formulate
Lyuzerui Yuan +3 more
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A Fractional Fokker-Planck Model for Anomalous Diffusion [PDF]
, 2014 In this paper we present a study of anomalous diffusion using a Fokker-Planck description with fractional velocity derivatives. The distribution functions are found using numerical means for varying degree of fractionality observing the transition from a
Eun-jin Kim +6 more
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