pbexpgeo: The bivariate exponential geometric distrubution (BEG)

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

Description

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

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

Usage

pbexpgeo(data, beta, p, lower.tail = TRUE, log.p = FALSE)

pbexpgeo(data, beta, p, lower.tail = TRUE, 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.
lower.tail	logical; if TRUE (default), probabilities are P[X ≤ x, N ≤q n], otherwise, P[X > x, N > n].
log.p	logical; if TRUE, probabilities p are given as log(p).

Details

pbexpgeo is the distribution function.

pbexpgeo is the distribution function.

Value

vector of distribution.

vector of distribution.

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

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<-pbexpgeo(data, beta=2,p=0.6)
den

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

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