THE LOGISTIC INVERSE GAUSSIAN (LIG) DISTRIBUTION [PDF]
Far East Journal of Theoretical Statistics, 2022 This paper examines the construction and properties of the logistic inverse Gaussian distribution (a new distribution which has been proposed) using the generalized inverse Gaussian as a mixed distribution in a logistic mixture. The derivation is based on the properties of modified Bessel function of the third kind as a special function and ...
Omukami, Howard +2 more
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Modeling of Compound Gaussian Sea Clutter Based on Inverse Gaussian Distribution [PDF]
Leida xuebao, 2013 The Compound-Gaussian (CG) distribution is widely used for modeling the non-Gaussian clutter, and its texture component describes the non-Gaussian properties of clutter. In this paper, a CG model with an inverse Gaussian texture distribution is proposed,
Yan Liang +4 more
doaj +2 more sources
An R Package for a General Class of Inverse Gaussian Distributions [PDF]
Journal of Statistical Software, 2007 The inverse Gaussian distribution is a positively skewed probability model that has received great attention in the last 20 years. Recently, a family that generalizes this model called inverse Gaussian type distributions has been developed.
Victor Leiva +2 more
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Three-Part Composite Pareto Modelling for Income Distribution in Malaysia
Mathematics, 2023 Income distribution models can be useful for describing the economic properties of a population. In this study, three-part composite Pareto models are fitted to the income distribution in Malaysia for the years 2007, 2009, 2012, 2014, and 2016. The three-
Muhammad Hilmi Abdul Majid +2 more
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On the Discrimination between the Inverse Gaussian and Lognormal Distributions [PDF]
المجلة العراقية للعلوم الاحصائية, 2008 Both inverse Gaussian and lognormal distributions have been used among many well-known failure time distributions with positively skewed data. The problem of selecting between them is considered. The logarithm of maximum likelihood ratio has been used as
Zakaria Y. AL-Jammal
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Robust adaptive multi‐target tracking with unknown measurement and process noise covariance matrices
IET Radar, Sonar & Navigation, 2022 A robust adaptive probability hypothesis density (PHD) filter is proposed to address the degradation of PHD performance due to an unknown process noise and measurement noise covariance matrix.
Peng Gu, Zhongliang Jing, Liangbin Wu
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Absolute Moments of Generalized Hyperbolic Distributions and Approximate Scaling of Normal Inverse Gaussian Lévy-Processes [PDF]
, 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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Which is the right option for Indian market: Gaussian, normal inverse Gaussian, or Tsallis?
IIMB Management Review, 2019 This paper models Nifty spot prices using frameworks based on Gaussian distribution (geometric Brownian motion) and non-Gaussian distributions, viz. normal inverse Gaussian (NIG), and Tsallis distributions, to investigate which model best captures the ...
Prasenjit Chakrabarti +1 more
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Bias-Corrected Maximum Likelihood Estimation for the Process Performance Index using Inverse Gaussian Distribution [PDF]
, 2023 An analytical bias-corrected maximum likelihood estimation procedure and a bootstrap bias-corrected maximum likelihood estimation procedure are proposed for the inverse Gaussian distribution (IGD) to obtain more reliable maximum likelihood estimates ...
Tsai, Tzong-Ru;Xin, H;Fan, Ya-Yen;Lio, YL
core
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
doaj +1 more source