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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

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  

The Bivariate Normal Copula

, 2009
We collect well known and less known facts about the bivariate normal distribution and translate them into copula language. In addition, we prove a very general formula for the bivariate normal copula, we compute Gini's gamma, and we provide improved ...
Azzalini A., Azzalini A., Ağca Ş., Balakrishnan N., Bluhm C., Borth D. M., Bretz F., Christian Meyer, Daley D. J., Embrechts P., Hull J., Lindskog F., Mee R. W., Meyer C., Nelsen R. B., Patefield M., Patel J. K., Pinelis I., Plackett R. L., Sheppard W. F., Sowden R. R., Stieltjes T. S., Vasicek O., Vasicek O., West G., Willink R.   +25 more
core   +1 more source

A Bivariate $t$ Distribution

The Annals of Mathematical Statistics, 1967
In this note we consider the joint distribution of Student variates $(t_1, t_2)$, where $t_1$ corresponds to the $x$-observations and $t_2$ to $y$-observations from a bivariate normal distribution. No applications are suggested as Hotelling's $T^2$ is more appropriate whenever estimation of covariance matrix is necessary.
openaire   +2 more sources

A New Bivariate Survival Model: The Marshall-Olkin Bivariate Exponentiated Lomax Distribution with Modeling Bivariate Football Scoring Data

Axioms
This paper focuses on applying the Marshall-Olkin approach to generate a new bivariate distribution. The distribution is called the bivariate exponentiated Lomax distribution, and its marginal distribution is the exponentiated Lomax distribution ...
Sulafah M. S. Binhimd, Zakiah I. Kalantan, Abeer A. EL-Helbawy, Gannat R. AL-Dayian, Ahlam A. M. Mahmoud, Reda M. Refaey, Mervat K. Abd Elaal   +6 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

Statistical modeling of space shuttle environmental data [PDF]

Statistical models which use a class of bivariate gamma distribution are examined. Topics discussed include: (1) the ratio of positively correlated gamma varieties; (2) a method to determine if unequal shape parameters are necessary in bivariate gamma ...
Brewer, D. W., Tubbs, J. D.
core   +1 more source

Markovian queues with correlated arrival processes [PDF]

, 2005
In an attempt to examine the effect of dependencies in the arrival process on the steady state queue length process in single server queueing models with exponential service time distribution, four different models for the arrival process, each with ...
Hunter, Jeffrey J.
core  

Approximating multivariate distributions with vines [PDF]

, 2010
In a series of papers, Bedford and Cooke used vine (or pair-copulae) as a graphical tool for representing complex high dimensional distributions in terms of bivariate and conditional bivariate distributions or copulae.
Bedford, T.J., Daneshkhah, A.
core   +1 more source