Inverse Gaussian distributionMonotone likelihood ratio propertyDecision theoryImproved point estimationImproved interval estimationStein-type estimatorBrewster-Zidek-type estimatorA monotone likelihood ratio pr
(1989). . The inverse Gaussian distribution: Theory, method- ology, and applications (Vol. 95) CRC.Chhikara,R. and Folks,L. (1989) The inverse gaussian distri- bution: theory, methodology, and applications. New York: Marcel Dekker.
The inverse Gaussian (IG) is one of the most famous and considered distributions with positive support. We propose a convenient mode-based parameterization yielding the reparametrized IG (rIG) distribution; it allows/simplifies the use of the IG distribution in various statistical fields, and we ...
Since inverse gamma distribution, gamma distribution, and inverse Gaussian distribution are three special cases of generalized inverse Gaussian distribution, CG-GIG distribution can contain K distribution, Student's t distribution, and CG-IG distribution at the same time. In theory, compared with the ...
The choice of distribution is often made on the basis of how well the data appear to be fitted by the distribution. The inverse Gaussian distribution is one of the basic models for describing positively skewed data which arise in a variety of applications. In this paper, the problem of ...
Maximum likelihood predictive densities for the inverse Gaussian distribution with applications to reliability and lifetime predictions Maximum likelihood predictive densities (MLPD) for the inverse Gaussian distribution are derived for the cases of one or both parameters unknown. They are ... Zhenlin,Yan...
(MW ≥ 4.0) from 1900–2022, employing Inverse Gaussian (aka Brownian Passage Time) and Lognormal distribution models, categorizing the NAFZ into ten seismic zones. Rigorous model fitness assessments were conducted, including Akaike and Bayesian information criteria, Kolmogorov–Smirnov, and ...
The inverse gaussian distribution is a flexible model with applications in generalized linear models and accelerated life testing where early failure times predominate. Recently it has received attention in quality improvement and as a model for which an alternative to the analysis of variance, known ...
Applications of Modified Chi-Squared Tests 7.4 Modified chi-squared tests for the inverse Gaussian distribution 7.4.1 Introduction Schrödinger (1915)was the first to derive the probability distribution of the first passage time in Brownian motion. Tweedie (1957) investigated the basic characteristics ...
Note on the use of the inverse Gaussian distribution for wind energy applications Journal of Applied Meteorology (1980) O.E. Barndorff-Nielsen A note on electrical networks and the inverse Gaussian distribution Advances in Applied Probability (1994) G. Claeskens et al. Goodness of fit via non-...