Multimodel response assessment for monthly rainfall distribution in some selected Indian cities using best-fit probability as a tool [PDF]
Applied Water Science, 2018 We carry out a study of the statistical distribution of rainfall precipitation data for 20 cites in India . We have determined the best-fit probability distribution for these cities from the monthly precipitation data spanning 100 years of observations ...
Anumandla Sukrutha +2 more
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A new generalized inverse Gaussian distribution with Bayesian estimators
Discover DataA new family of distributions, called the transformed inverse Gaussian (TIG) distribution with four parameters, is introduced. Within this family, a specific distribution called the new generalized inverse Gaussian (NGIG) distribution, with three ...
Kenneth Goward +3 more
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Hierarchical Generalized Linear Models: The R Package HGLMMM [PDF]
Journal of Statistical Software, 2011 The R package HGLMMM has been developed to fit generalized linear models with random effects using the h-likelihood approach. The response variable is allowed to follow a binomial, Poisson, Gaussian or gamma distribution.
Marek Molas, Emmanuel Lesaffre
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Absolute Moments of Generalized Hyperbolic Distributions and Approximate Scaling of Normal Inverse Gaussian Lévy-Processes [PDF]
Scandinavian Journal of Statistics, 2004 Expressions for (absolute) moments of generalized hyperbolic (GH) and normal inverse Gaussian (NIG) laws are given in terms of moments of the corresponding symmetric laws.
Barndorff-Nielsen, Ole Eiler +1 more
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Promotion time cure model with generalized Poisson-Inverse Gaussian Distribution
Journal of Biostatistics and Epidemiology, 2016 Background & Aim: In the survival data with Long-term survivors the event has not occurred for all the patients despite long-term follow-up, so the survival time for a certain percent is censored at the end of the study.
Mitra Rahimzadeh, Behrooz Kavehie
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Generalized Sichel Distribution and Associated Inference [PDF]
Journal of Statistical Theory and Applications (JSTA), 2017 In this paper, we propose a generalized form of Sichel distribution which is obtained by mixing the Poisson distribution with the extended generalized inverse Gaussian distribution.
Yeh Ching Low +2 more
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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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On Free Generalized Inverse Gaussian Distributions [PDF]
Complex Analysis and Operator Theory, 2018 We study here properties of free Generalized Inverse Gaussian distributions (fGIG) in free probability. We show that in many cases the fGIG shares similar properties with the classical GIG distribution. In particular we prove that fGIG is freely infinitely divisible, free regular and unimodal, and moreover we determine which distributions in this class
Hasebe, Takahiro, Szpojankowski, Kamil
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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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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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