### Name: exp.tilt
### Title: Exponential Tilting
### Aliases: exp.tilt
### Keywords: nonparametric smooth

### ** Examples

# Example 9.8 of Davison and Hinkley (1997) requires tilting the resampling
# distribution of the studentized statistic to be centred at the observed
# value of the test statistic 1.84.  This can be achieved as follows.
grav1 <- gravity[as.numeric(gravity[,2])>=7,]
grav.fun <- function(dat, w, orig)
{    strata <- tapply(dat[, 2], as.numeric(dat[, 2]))
     d <- dat[, 1]
     ns <- tabulate(strata)
     w <- w/tapply(w, strata, sum)[strata]
     mns <- tapply(d * w, strata, sum)
     mn2 <- tapply(d * d * w, strata, sum)
     s2hat <- sum((mn2 - mns^2)/ns)
     as.vector(c(mns[2]-mns[1],s2hat,(mns[2]-mns[1]-orig)/sqrt(s2hat)))
}
grav.z0 <- grav.fun(grav1,rep(1,26),0)
grav.L <- empinf(data=grav1, statistic=grav.fun, stype="w", 
                 strata=grav1[,2], index=3, orig=grav.z0[1])
grav.tilt <- exp.tilt(grav.L, grav.z0[3], strata=grav1[,2])
boot(grav1, grav.fun, R=499, stype="w", weights=grav.tilt$p,
     strata=grav1[,2], orig=grav.z0[1])