Results 11 to 20 of about 341,037 (316)
On a Bivariate XGamma Distribution Derived from Copula
In this paper, a new bivariate XGamma (BXG) distribution is presented using Farlie-Gumbel-Morgenstern (FGM) copula. We derive the expressions for conditional distribution, regression function and product moments for the BXG distribution.
Mohammed Abulebda +3 more
doaj +2 more sources
CHARACTERIZATION OF THE BIVARIATE NEGATIVE BINOMIAL DISTRIBUTION [PDF]
James E. Dunn
openalex +3 more sources
Bivariate Selberg-beta type 1 distribution
By using the well known Selberg integral we define a bivariate beta distribution.
Daya K. Nagar +2 more
doaj +1 more source
Power Families of Bivariate Proportional Hazard Models
In this paper, we propose a general class of bivariate proportional hazard distributions, which is based on the family of asymmetric proportional hazard distributions and the bivariate Pareto copula.
Guillermo Martínez-Flórez +2 more
doaj +1 more source
Generalized Bivariate Kummer-Beta Distribution
A new bivariate beta distribution based on the Humbert’s confluent hypergeometric function of the second kind is introduced. Various representations are derived for its product moments, marginal densities, marginal moments, conditional densities and ...
Daya K. Nagar +2 more
doaj +1 more source
Bivariate Discrete Modified Weibull (BDMW) Distribution
In this paper we develop a bivariate discrete modifiedWeibull (BDMW) distribution and derived some of its important properties such as joint survival function, marginal survival function, conditional survival function, joint probability generating ...
Damodaran Santhamani Shibu, Nimna Beegum
doaj +1 more source
How to Estimate the Supplier Fill Rate When the Supply Order and the Supply Lead-time Are Uncertain? [PDF]
Modern retail supply chains are more and more exposed to risks and uncertainties. The supply risk such as the uncertainty of the supplier fill rate (SFR) directly affects the performance of a retail supply chain.
Slim Harbi +2 more
doaj +1 more source
Zero-Dependent Bivariate Poisson Distribution with Applications
The bivariate Poisson model is the most widely used model for bivariate counts, and in recent years, several bivariate Poisson regression models have been developed in order to analyse two response variables that are possibly correlated. In this paper, a
Najla Qarmalah, Abdulhamid A. Alzaid
doaj +1 more source
A New Bivariate Birnbaum-Saunders Type Distribution Based on the Skew Generalized Normal Model
It is well known that it is possible to represent a Birnbaum-Saunders variable as a relatively simple (and invertible) function of a standard normal random variable.
Barry C. Arnold +2 more
doaj +1 more source
In this study, a new approach to transmutation theory is developed by using negative dependency basement. Once choosing a distribution that has negative dependency with the same marginal, a new bivariate distribution is derived.
Mehmet Yılmaz, Hüseyin Ünözkan
doaj +1 more source

