50% off | Unlimited Data & AI Learning

Last chance! 50% off unlimited learning

Sale ends in


robeth (version 2.6)

hysestw: Resampling algorithm for the computation of weighted S-estimates

Description

See Marazzi A. (1993), p.216

Usage

hysestw(x, y, wgt, nq = np, iopt = .dFvGet()$ipt, intch = .dFvGet()$ich, 
        nrep, tols = .dFvGet()$tls, tolr = .dFvGet()$tlr, tau = .dFvGet()$tua, 
        gam = .dFvGet()$gma, maxit = .dFvGet()$mxt, maxs1 = .dFvGet()$msx, 
        maxs2 = .dFvGet()$mxs, expsi = psi, expsp = psp, exchi = chi, 
        iseed = .dFvGet()$isd)

Arguments

x
See reference
y
See reference
wgt
See reference
nq
See reference
iopt
See reference
intch
See reference
nrep
See reference
tols
See reference
tolr
See reference
tau
See reference
gam
See reference
maxit
See reference
maxs1
See reference
maxs2
See reference
expsi
See reference
expsp
See reference
exchi
See reference
iseed
See reference

Value

  • See reference

References

Marazzi A. (1993) Algorithm, Routines, and S functions for Robust Statistics. Wadsworth & Brooks/cole, Pacific Grove, California. p.216