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Generalized Inverse Gaussian Distributions and their Wishart Connections

Scandinavian Journal of Statistics, 1998
The matrix generalized inverse Gaussian distribution (MGIG) is shown to arise as a conditional distribution of components of a Wishart distributio n. In the special scalar case, the characterization refers to members of the class of generalized inverse Gaussian distributions (GIGs) and includes the inverse Gaussian distribution among ...
exaly   +3 more sources

Interval estimation for inverse Gaussian distribution

Quality and Reliability Engineering International, 2021
AbstractIn this paper, we consider interval estimation for the inverse Gaussian (IG) distribution. Using generalized pivotal quantity method, we derive the generalized confidence intervals (GCIs) for the model parameters and some quantities such as the quantile, the reliability function of the lifetime, the failure rate function, and the mean residual ...
Xiaofei Wang   +5 more
openaire   +1 more source

Bivariate inverse gaussian distribution

Annals of the Institute of Statistical Mathematics, 1981
A bivariate inverse Gaussian (IG) density function is constructed. Relations of the bivariate IG distribution to the normal and χ2 distributions are established. The corresponding bivariate random walk (RW) density function is obtained. The properties and behaviour of bivariate IG distribution are studied for large parametric values.
Al-Hussaini, Essam K.   +1 more
openaire   +2 more sources

On Bayesian inference for the Inverse Gaussian distribution

Statistics & Probability Letters, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BETRO B, ROTONDI R
openaire   +3 more sources

Statistical Distributions Related to the Inverse Gaussian

Communications in Statistics - Simulation and Computation, 1975
Considering some useful functions of the inverse Gaussian variate we derive its related statistical distributions. in general, these distributions are shwn to have a certain anaogy vita several related distribution for the normal, and lead to inversting applicatons in developing sampling theory and statiatical inverse Gaussian.
Chhikara, R. S., Folks, J. L.
openaire   +1 more source

An alternative inverse Gaussian distribution

Mathematics and Computers in Simulation, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Percentile Estimation in Inverse Gaussian Distributions

Communications in Statistics - Simulation and Computation, 2013
This paper presents procedures for percentile estimation in the three-parameter inverse Gaussian (IG3) and the two-parameter inverse Gaussian (IG2) distributions. All procedures require first the estimation of distribution parameters and second the computation of the desired quantile at the estimated parameters.
Athanasios G. Kallioras   +1 more
openaire   +1 more source

On Testing the Inverse Gaussian Distribution Hypothesis

Sankhya B, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
José A. Villaseñor   +2 more
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On Khatri's characterization of the inverse‐Gaussian distribution

Canadian Journal of Statistics, 1985
AbstractKhatri has given a characterization of the inverse‐Gaussian distribution by the independence of two statistics. His proof involves assumptions on the existence of certain moments. In this note, we offer a short proof using only the positivity of the random variable X1.
Letac, Gérard, Seshadri, Vanamamalai
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Tests of fit for Inverse Gaussian distributions

Statistics & Probability Letters, 2015
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Villaseñor, José A.   +1 more
openaire   +2 more sources

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