Results 1 to 10 of about 430,483 (293)
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
doaj +5 more sources
Representative Points of the Inverse Gaussian Distribution and Their Applications [PDF]
EntropyThe inverse Gaussian (IG) distribution, as an important class of skewed continuous distributions, is widely applied in fields such as lifetime testing, financial modeling, and volatility analysis.
Wen-Wen Hu, Kai-Tai Fang, Xiao-Ling Peng
doaj +2 more sources
An Extended Mixture Inverse Gaussian Distribution [PDF]
Suan Sunandha Rajabhat University Journal of Science and Technology, 2016 This paper proposes an extend mixture inverse Gaussian (EMIG) distribution which is mixed between the inverse Gaussian distribution and the length biased inverse Gaussian (LBIG) distribution. The BirnbaumSaunders (BS) distribution and LBIG distribution
Chookait Pudprommarat
doaj +2 more sources
Monte Carlo comparison of goodness-of-fit tests for the Inverse Gaussian distribution based on empirical distribution function [PDF]
Journal of Mahani Mathematical Research, 2023 The Inverse Gaussian (IG) distribution is widely used to model positively skewed data. In this article, we examine goodness of fit tests for the Inverse Gaussian distribution based on the empirical distribution function.
Hadi Alizadeh Noughabi +1 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
On Testing the Adequacy of the Inverse Gaussian Distribution
Mathematics, 2022 We propose a new class of goodness-of-fit tests for the inverse Gaussian distribution based on a characterization of the cumulative distribution function (CDF). The new tests are of weighted L2-type depending on a tuning parameter.
James S. Allison +3 more
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source