jackknife to calculate jackknife statistics and
create an object of class
jackknife which inherits from
resamp.
jackstats(replicates, observed, n, call, seed.start, dim.obs=NULL)
group.size not equal to one.
jackstats.
jackstats.
Because the resampling
indices are not random with jackknifing,
this seed is only of interest when
the statistic uses randomization, or
group.size is not equal to one.
dim.obs. Used in
plot.resamp and
qqnorm.resamp to control the layout of plots.
jackknife which inherits from
resamp. This has
components
call,
observed,
replicates,
estimate,
B,
n,
dim.obs,
and
seed.start. The data frame
estimate has three columns containing
the bootstrap estimates of
Bias,
Mean, and
SE.
Efron, B. and Tibshirani, R. J. (1993).
An Introduction to the Bootstrap.
San Francisco: Chapman & Hall.
Shao, J. and Tu, D. (1995).
The Jackknife and Bootstrap.
New York: Springer-Verlag.