logL {bvpa}

Log-likelihood function of Block-Basu Bivariate Pareto (BBBVPA) distribution

Description

Return the log likelihood value.

Usage

logL(I, mu1, mu2, s1, s2, a0, a1, a2)

Arguments

I

baivariate observations.

mu1

value of \mu_1.

mu2

value of \mu_2.

s1

value of \sigma_1.

s2

value of \sigma_2.

a0

value of \alpha_0.

a1

value of \alpha_1.

a2

value of \alpha_2.

Value

a list consisting of

logLik

A scalar numeric, log likelihood of the model.

n1, n2

n_1 and n_2.

Author(s)

Biplab Paul <[e-mail]> and Arabin Kumar Dey <[e-mail]>

Examples

dat <- rbb.bvpa(500, 0.1, 0.1, 0.8, 0.8, 2.0, 0.4, 0.5)
logL(dat, 0.1, 0.1, 0.8, 0.8, 2.0, 0.4, 0.5)