pctl.fun: Survival functions of pivots of estimators of locations.

In bvpa: Bivariate Pareto Distribution

Survival functions of pivots of estimators of locations.

Description

Survival functions of pivots of estimators of locations \mu_1 and \mu_2. These are required to calculate the critical value of confidence intervals for \mu_1 and \mu_2.

Usage

pctl.fun(z, n, a0, a1, a2, pct, select = 1)

Arguments

z	quantiles.
n	number of observations.
a0	value of \alpha_0.
a1	value of \alpha_1.
a2	value of \alpha_2.
pct	probabilities.
select	Allows to select the function for different location parameters. a single model term to be selected for printing. e.g. if you just want the function for \mu_1 set select=1 (default).

Value

return a function.

Author(s)

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

Examples

uniroot(pctl.fun, interval=c(0,2), n = 500, a0 = 2.0, a1 = 0.4, a2 = 0.5,
 pct = 0.025, tol = 0.0001)[[1]]

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