intliz: Initialization of Block-Basu Bivariate Pareto (BBBVPA)...

In bvpa: Bivariate Pareto Distribution

Initialization of Block-Basu Bivariate Pareto (BBBVPA) distribution

Description

Return initial choice parameters of BBBVPA distribution.

Usage

intliz(
  data,
  ini.run = 100,
  tol.ini = 0.001,
  proc = "ML",
  intv.s1 = c(0, 5),
  intv.s2 = c(0, 5),
  intv.a0 = c(0, 5),
  intv.a1 = c(0, 5),
  intv.a2 = c(0, 5),
  ...
)

Arguments

data	bivariate observations.
ini.run	number of random initializations.
tol.ini	convergence tolerance, 0.001 (default)..
proc	different procedures, "ML" (default) and "S.EM".
intv.s1	interval for random initialization of \sigma_1.
intv.s2	interval for random initialization of \sigma_2.
intv.a0	interval for random initialization of \alpha_0.
intv.a1	interval for random initialization of \alpha_1.
intv.a2	interval for random initialization of \alpha_2.
...	further arguments to pass to estimates.

Value

numeric vector.

Author(s)

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

Examples

# see the example of estimation

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