dbexpgeo: The bivariate exponential geometric distribution (BEG)

In camponsah/BivMixDist: Fit bivariate continous and discrete distributions as well as provide EM algorithm for discrete Pareto

Description

Density function for bivariate exponential geometric distribution with parameters β > 0 and p in (0,1).

Usage

dbexpgeo(data, beta, p, log.p = FALSE)

Arguments

data	is bivariate vector (X,N) vector representing observations from BEG model.
beta	numeric parameter which must be numeric greater than 0.
p	numeric parameter between 0 and 1.
log.p	logical; if TRUE, probabilities p are given as log(p).

Details

dbexpgeo is the density function.

Value

vector of densities.

References

Kozubowski, T.J., & Panorska, A.K. (2005). A Mixed bivariate distribution with exponential and geometric marginals. Journal of Statistical Planning and Inference, 134, 501-520. https://doi.org/10.1016/j.jspi.2004.04.010

Examples

data<-rbexpgeo(20, beta=2,p=0.6)
den<-dbexpgeo(data, beta=2,p=0.6)
den

camponsah/BivMixDist documentation built on Nov. 15, 2021, 3:11 a.m.