estimates3: Estimation of 3-parameter Block-Basu Bivariate Pareto...

In bvpa: Bivariate Pareto Distribution

Estimation of 3-parameter Block-Basu Bivariate Pareto (BBBVPA) distribution

Description

Parameters estimation of 3-parameter BBBVPA distribution.

Usage

estimates3(
  I,
  a0.int,
  a1.int,
  a2.int,
  tol.est = 1e-05,
  MxIter.no = 2000,
  condition = "log.L"
)

Arguments

I	bivariate observations.
a0.int	initial choice of \alpha_0.
a1.int	initial choice of \alpha_1.
a2.int	initial choice of \alpha_2.
tol.est	convergence tolerance, 0.0001 (default).
MxIter.no	maximum number of iterations, 2000 (default).
condition	convergence criterion, "log.L" (default) and "p.logL".

Value

Object of class "bbbvpa3", a list consisting of

alpha0, alpha1, alpha2, iter.no	estimates of parameters and number of iteration.
data	the supplied data I.

Author(s)

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

Examples

dat <- rbb.bvpa(500, 0, 0, 1.0, 1.0, 2.0, 0.4, 0.5)
estimates3(dat, 2.4, 0.3, 0.6)[-5]

bvpa documentation built on Aug. 8, 2023, 5:11 p.m.