Results 51 to 60 of about 6,296,385 (258)

Farlie–Gumbel–Morgenstern Bivariate Moment Exponential Distribution and Its Inferences Based on Concomitants of Order Statistics

Stats, 2023
In this research, we design the Farlie–Gumbel–Morgenstern bivariate moment exponential distribution, a bivariate analogue of the moment exponential distribution, using the Farlie–Gumbel–Morgenstern approach.
Sasikumar Padmini Arun, Christophe Chesneau, Radhakumari Maya, Muhammed Rasheed Irshad   +3 more
doaj   +1 more source

A Bivariate Power Lindley Survival Distribution

Mathematics
We introduce and investigate the properties of new families of univariate and bivariate distributions based on the survival function of the Lindley distribution.
Guillermo Martínez-Flórez, Barry C. Arnold, Héctor W. Gómez   +2 more
doaj   +1 more source

Continuous canonical correlation analysis [PDF]

, 2005
Given a bivariate distribution, the set of canonical correlations and functions is in general finite or countable. By using an inner product between two functions via an extension of the covariance, we find all the canonical correlations and functions
Caudras, C.M.
core  

Assessment of bivariate normality

, 2004
There are three methods, which are most commonly used to assess the bivariate normality of paired data, two of which are also used to assess the multivariate normality. Nevertheless, none of the methods is very efficient or conclusive in their assessment
Sadri, Pejmon
core   +1 more source

Constructing a bivariate distribution function with given marginals and correlation: application to the galaxy luminosity function [PDF]

, 2010
We provide an analytic method to construct a bivariate distribution function (DF) with given marginal distributions and correlation coefficient. We introduce a convenient mathematical tool, called a copula, to connect two DFs with any prescribed ...
T. Takeuchi
semanticscholar   +1 more source

On Computation of the Bivariate Normal Distribution [PDF]

Mathematics of Computation, 1969
A quadrature and two series representations are given as limiting cases of a bivariate t t -distribution. The quadrature is taken over the complementary error function and the series are sums of Bessel functions and incomplete beta functions, respectively.
openaire   +3 more sources

Bivariate Burr X Generator of Distributions: Properties and Estimation Methods with Applications to Complete and Type-II Censored Samples

Mathematics, 2020
Burr proposed twelve different forms of cumulative distribution functions for modeling data. Among those twelve distribution functions is the Burr X distribution.
M. El-Morshedy, Ziyad Ali Alhussain, Doaa Atta, Ehab M. Almetwally, M. S. Eliwa   +4 more
doaj   +1 more source

Morgenstern type bivariate Lindley Distribution

, 2016
In this paper, a bivariate Lindley distribution using Morgenstern approach is proposed which can be used for modeling bivariate life time data. Some characteristics of the distribution like moment generating function, joint moments, Pearson correlation ...
V. Vaidyanathan, S. Varghese, A
semanticscholar   +1 more source

Bivariate Epanechnikov-exponential distribution: statistical properties, reliability measures, and applications to computer science data

AIMS Mathematics
One important area of statistical theory and its applications to bivariate data modeling is the construction of families of bivariate distributions with specified marginals.
H. M. Barakat, M. A. Alawady , I. A. Husseiny, M. Nagy , A. H. Mansi , M. O. Mohamed   +5 more
doaj   +1 more source

Some properties of a 5-parameter bivariate probability distribution [PDF]

A five-parameter bivariate gamma distribution having two shape parameters, two location parameters and a correlation parameter was developed. This more general bivariate gamma distribution reduces to the known four-parameter distribution.
Brewer, D. W., Smith, O. E., Tubbs, J. D.   +2 more
core   +1 more source