Results 21 to 30 of about 61,093 (305)

Tsallis Entropy, Likelihood, and the Robust Seismic Inversion

open access: yesEntropy, 2020
The nonextensive statistical mechanics proposed by Tsallis have been successfully used to model and analyze many complex phenomena. Here, we study the role of the generalized Tsallis statistics on the inverse problem theory.
Igo Pedro de Lima   +3 more
doaj   +1 more source

A regression characterization of inverse Gaussian distributions and application to EDF goodness-of-fit tests

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2003
We give a new characterization of inverse Gaussian distributions using the regression of a suitable statistic based on a given random sample. A corollary of this result is a characterization of inverse Gaussian distribution based on a conditional joint ...
Khoan T. Dinh   +2 more
doaj   +1 more source

Variability of distributions of wave set-up heights along a shoreline with complicated geometry [PDF]

open access: yesOcean Science, 2020
The phenomenon of wave set-up may substantially contribute to the formation of devastating coastal flooding in certain coastal areas. We study the appearance and properties of empirical probability density distributions of the occurrence of different set-
T. Soomere   +4 more
doaj   +1 more source

Testing the Equality of Coefficient of Variation in K Inverse Gaussian Populations [PDF]

open access: yesThe Egyptian Statistical Journal, 2002
Three tests (likelihood ratio test, Wald test and Score test) are derived for the hypothesis that the coefficients of variation of k Inverse Gaussian populations are equal. The k samples may be of unequal size.
Amina Saleh, Somia El-Attar
doaj   +1 more source

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

Higher order approximations to coal pyrolysis distribution

open access: yesJournal of Sustainable Mining, 2018
Coal pyrolysis is a complex process involving a large number of chemical reactions. Pyrolysis is a key step in all coal conversion processes. The Distributed Activation Energy Model (DAEM) is a state-of-the art approach to the problem of predicting the ...
Sione Paea, Mark McGuinness
doaj   +1 more source

Elementary integrate-and-fire process underlies pulse amplitudes in Electrodermal activity.

open access: yesPLoS Computational Biology, 2021
Electrodermal activity (EDA) is a direct read-out of sweat-induced changes in the skin's electrical conductance. Sympathetically-mediated pulsatile changes in skin sweat measured as EDA resemble an integrate-and-fire process, which yields an inverse ...
Sandya Subramanian   +3 more
doaj   +1 more source

A Characterization of the Inverse Gaussian Distribution

open access: yesThe Annals of Mathematical Statistics, 1962
M. C. K. Tweedie [2] defined the inverse Gaussian distributions via the density functions \begin{equation*}\tag{1}f(x; m, \lambda)= \lbrack\lambda/(2\pi x^3)\rbrack^{\frac{1}{2}} \exp \lbrack -\lambda(x - m)^2/(2m^2x)\rbrack\quad\text{for}\quad x > 0 = 0\quad\text{for} x \leqq 0\end{equation*} The parameters $\lambda$ and $m$ are positive.
openaire   +3 more sources

On the power of Gini index-based goodness-of-fit test for the Inverse Gaussian distribution [PDF]

open access: yesJournal of Mahani Mathematical Research
The Inverse Gaussian distribution finds application in various fields, such as finance, survival analysis, psychology, engineering, physics, and quality control.
Hadi Alizadeh Noughabi   +1 more
doaj   +1 more source

Curve Fitting Algorithm of Functional Radiation-Response Data Using Bayesian Hierarchical Gaussian Process Regression Model

open access: yesIEEE Access, 2023
We present a nonparametric Bayesian hierarchical (NBH) model and develop a variational approximation (VA) algorithm for the curve fitting of the functional radiation response data.
Kwang-Woo Jung   +6 more
doaj   +1 more source

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