Results 251 to 260 of about 430,483 (293)

The Inverse Gaussian Distribution

1994
Abstract This book begins with a historical survey of `generalized inverse Gaussian laws', in which the wartime contribution of Etienne Halphen is presented for the first time. The inverse Gaussian distribution, its properties, and its implications are set in a wide perspective.
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Assessing the inverse Gaussian distribution assumption

IEEE Transactions on Reliability, 1990
Two easily applied goodness-of-fit tests for the inverse Gaussian distribution are discussed. One of these tests is the familiar Kolmogorov-Smirnov one-sample test that is applied when the form of a probability distribution is completely specified. When the parameters of the distribution are unknown, as is more typical, the Kolmogorov-Smirnov test ...
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Inverse Gaussian Distribution

2021
Rajan Chattamvelli, Ramalingam Shanmugam
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The Inverse Gaussian Distribution

Technometrics, 1989
B. D. Spurr, Raj S. Chhikara, J. Leroy Folks   +2 more
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On the Inverse Gaussian Distribution Function

Journal of the American Statistical Association, 1968
Abstract This note deals with a method of evaluating the distribution function of the Inverse Gaussian Distribution, from the Standard Normal Distribution.
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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 ...
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Variational Adaptive Kalman Filter With Gaussian-Inverse-Wishart Mixture Distribution

IEEE Transactions on Automatic Control, 2021
Yulong Huang, Yonggang Zhang, Michael Shi   +2 more
exaly  

Inverse Gaussian and generalized inverse Gaussian distributions

2021
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Properties of the Inverse Gaussian Distribution

1994
Abstract For a comprehensive survey of the basic properties of the inverse Gaussian law it is essential to have a clear understanding of the fundamentals of exponential families. The seeds of exponential families were first sown by Fisher (1934) who argued that families of one-dimensional distributions admitting a sufficient reduction ...
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The Inverse Gaussian Distribution

Technometrics, 2000
Asit P. Basu, V. Seshadri
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