Results 31 to 40 of about 4,677,840 (301)

Goodness-of-Fit Test for the Bivariate Hermite Distribution

open access: yesAxioms, 2022
This paper studies the goodness of fit test for the bivariate Hermite distribution. Specifically, we propose and study a Cramér–von Mises-type test based on the empirical probability generation function. The bootstrap can be used to consistently estimate
Pablo González-Albornoz   +1 more
doaj   +1 more source

On bivariate Weibull-Geometric distribution

open access: yesJournal of Multivariate Analysis, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Debasis Kundu, Arjun K. Gupta
openaire   +2 more sources

On Bivariate Nadarajah-Haghighi Distribution derived from Farlie-Gumbel-Morgenstern copula in the Presence of Covariates

open access: yesJournal of Nigerian Society of Physical Sciences, 2023
An important alternative distribution to the Weibull, generalized exponen- tial and gamma distributions that is used in survival analysis is the Nadarajah- Haghighi exponential distribution.
Yakubu Aliyu, Umar Usman
doaj   +1 more source

A truncated bivariate inverted Dirichlet distribution

open access: yesStatistica, 2013
A truncated version of the bivariate inverted dirichlet distribution is introduced. Unlike the inverted dirichlet distribution, this possesses finite moments of all orders and could therefore be a better model for certain practical situations.
Saralees Nadarajah
doaj   +1 more source

Bivariate power Lomax distribution with medical applications.

open access: yesPLoS ONE, 2023
In this paper, a bivariate power Lomax distribution based on Farlie-Gumbel-Morgenstern (FGM) copulas and univariate power Lomax distribution is proposed, which is referred to as BFGMPLx.
Maha E Qura   +3 more
doaj   +1 more source

Copulas for statistical signal processing (Part I) : extensions and generalization [PDF]

open access: yes, 2014
Existing works on multivariate distributions mainly focus on limited distribution functions and require that the associated marginal distributions belong to the same family. Although this simplifies problems, it may fail to deal with practical cases when
Wang, Zheng   +4 more
core   +4 more sources

Probabilistic derivation of a bilinear summation formula for the Meixner-Pollaczek polynominals

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 1980
Using the technique of canonical expansion in probability theory, a bilinear summation formula is derived for the special case of the Meixner-Pollaczek polynomials {λn(k)(x)} which are defined by the generating function ∑n=0∞λn(k)(x)zn/n!=(1+z)12(x−k)/(1−
P. A. Lee
doaj   +1 more source

Description of the Joint Probability of Significant Wave Height and Mean Wave Period

open access: yesJournal of Marine Science and Engineering, 2022
The bivariate probability distribution of significant wave heights and mean wave periods has an indispensable guiding role in the implementation of offshore engineering, which has attracted great attention.
Mingwen Zhao, Xiaodong Deng, Jichao Wang
doaj   +1 more source

Construction of Continuous Bivariate Distribution by Transmuting Dependent Distribution

open access: yesCumhuriyet Science Journal, 2019
In this study, a new bivariate distribution family isintroduced by adding an appropriate term to independent class. By choosing abase distribution which is negatively dependent from the same marginals wederive a new distribution around the product of ...
Mehmet Yılmaz, Hüseyin Ünözkan
doaj   +1 more source

The correlated bivariate noncentral F distribution and its application [PDF]

open access: yes, 2016
This paper proposes the singly and doubly correlated bivariate noncentral F (BNCF) distributions. The probability density function (pdf) and the cumulative distribution function (cdf) of the distributions are derived for arbitrary values of the ...
Ibrahim, Adriana I. N.   +3 more
core   +1 more source

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