Hello.
How can I compute the Bootstrap p-value for a two-sided test problem like H_0:
beta=0 vs. H_1: beta!=0 ?
Example for the sample mean:
x <- rnorm(100)
bootsample <- numeric(1000)
for(i in 1:1000) {
idx <- sample(1:100,100,replace=TRUE)
bootsample[i] <- mean(x[idx])
}
How can I compute the Bootstrap p-value for the mean of x?
H_0: "mean of x" = 0 vs. H_1: "mean of x" != 0
Thank you in advance.
Sincerely,
Andreas Klein.
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