loglikgeomRoy: Log-likelihood function
In bivgeom: Roy's Bivariate Geometric Distribution

Description Usage Arguments Value Author(s) References See Also Examples

Negative log-likelihood function for Roy's bivariate geometric model

1	loglikgeomRoy(par, x, y)

`par`	a vector containing the values of the three parameters θ_1, θ_2, and θ_3
`x`	numeric vector of sample x-values (non-negative integers)
`y`	numeric vector of sample x-values (non-negative integers), same length as `x`

Value of the negative log-likelihood function

Alessandro Barbiero

Roy, D. (1993) Reliability measures in the discrete bivariate set-up and related characterization results for a bivariate geometric distribution, Journal of Multivariate Analysis 46(2), 362-373.

dbivgeomRoy

theta1 <- 0.5
theta2 <- 0.7
theta3 <- 0.9
# random sample of size n=1000:
set.seed(12345)
n <- 1000
d <- rbivgeomRoy(n, theta1, theta2, theta3)
# parameter estimation, using the different proposed methods:
hattheta <- estbivgeomRoy(d[,1], d[,2], "ML")
loglikgeomRoy(hattheta, x=d[,1], y=d[,2])
# negative value of the (maximized) log-likelihood function