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This function takes a random sample and approximates an unbiased estimate of the squared variance based on Bootstrap estimate.
sigma4bootstrap(x)
is a vector of i.i.d. observations.
Bootstrap estimate of $ sigma^4$, where $sigma^2$ is the variance.
# NOT RUN { x=stats::rnorm(10) sigma4bootstrap(x) # }
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