I have a question regarding bootstrap coverage. I am trying to understand the
benefits of using the bootstrap for small sample sets. To do this I created a normal
population and then picked 10 from the populations and applied both traditional
statistical methods and the Bootstrap (bcanon,
Dear r People
I have a bootstrap question, please.
(this may possibly be a problem with my understanding of the bootstrap)
Suppose I have a sample of size 15, x[1], ...x[15].
This is a sample which is small compared to the population.
by the way, the x[i] are iid and have a common
You are using the boot function incorrectly. This is taken from the
help page:
statistic: A function which when applied to data returns a vector
containing the statistic(s) of interest. When
`sim=parametric', the first argument to `statistic' must be
the data.
