Results 21 to 30 of about 55,851 (263)

The New Odd Log-Logistic Generalized Inverse Gaussian Regression Model

open access: yesJournal of Probability and Statistics, 2019
We define a new four-parameter model called the odd log-logistic generalized inverse Gaussian distribution which extends the generalized inverse Gaussian and inverse Gaussian distributions. We obtain some structural properties of the new distribution. We
Julio Cezar Souza Vasconcelos   +3 more
doaj   +1 more source

Generalizing the isothermal efficiency by using Gaussian distributions

open access: yesPLOS ONE, 2022
Abstract Unlike the Carnot heat engine efficiency published in 1824, an isothermal efficiency derived from thermodynamics and information theory can be applied to biological systems. The original approach by Pierce and Cutler in 1959 to derive the isothermal efficiency equation came from Shannon’s channel capacity of 1949 and from ...
openaire   +4 more sources

Gibbs Sampler for Matrix Generalized Inverse Gaussian Distributions

open access: yesJournal of Computational and Graphical Statistics, 2023
Sampling from matrix generalized inverse Gaussian (MGIG) distributions is required in Markov Chain Monte Carlo (MCMC) algorithms for a variety of statistical models. However, an efficient sampling scheme for the MGIG distributions has not been fully developed.
Yasuyuki Hamura   +2 more
openaire   +2 more sources

Non-Gaussian effects of the Saha’s ionization in the early universe

open access: yesEuropean Physical Journal C: Particles and Fields, 2022
Tsallis’ thermostatistical has received increasing attention due to its success in describing phenomena that manifest unusual thermodynamic properties.
L. L. Sales   +3 more
doaj   +1 more source

Distributed detection of a signal in generalized Gaussian noise

open access: yesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1989
The problem of distributed detection of a signal in incompletely specified noise is conducted. The noise assumed belongs to the generalized Gaussian family, and the sensors in the distributed network use the Wilcoxon test. The sensors pass the test statistics to a fusion center, where a hypothesis testing results in a decision regarding the presence or
Viswanathan, R., Ansari, Arif
openaire   +2 more sources

Duration Distribution and Up-crossings Rate of Generalized Hyperbolic Processes

open access: yesAustrian Journal of Statistics, 2016
A Gaussian process is usually used to model the sea surface elevation in the oceanography. As the depth of the water decreases or the sea severity increases, the sea surface elevation departs from symmetry and Gaussianity. In this paper, a stationary non-
Moh’d T. Alodat, Khalid M. Aludaat
doaj   +1 more source

Multivariate Generalized Gaussian Distribution: Convexity and Graphical Models [PDF]

open access: yesIEEE Transactions on Signal Processing, 2013
We consider covariance estimation in the multivariate generalized Gaussian distribution (MGGD) and elliptically symmetric (ES) distribution. The maximum likelihood optimization associated with this problem is non-convex, yet it has been proved that its global solution can be often computed via simple fixed point iterations.
Teng Zhang   +2 more
openaire   +2 more sources

The Sampling Distribution of the Total Correlation for Multivariate Gaussian Random Variables

open access: yesEntropy, 2019
The sampling distribution of the total correlation (TC) for a d-dimensional standardized multivariate Gaussian random variable with an identity covariance matrix is derived. It is shown to be the distribution of a sum of generalized beta random variables.
Taylor Rowe, Troy Day
doaj   +1 more source

An RMT-based generalized Bayesian information criterion for signal enumeration

open access: yesEURASIP Journal on Advances in Signal Processing, 2023
This paper provides a method for enumerating signals impinging on an array of sensors based on the generalized Bayesian information criterion (GBIC). The proposed method motivates by a statistic for testing the sphericity of the covariance matrix when ...
Shoucheng Yuan, Bin Zhang
doaj   +1 more source

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