I want to use the bootstrap to test H0: g(x) = 0 vs Ha: g(x) > 0, where g() is a very coplicated non-negative function of the data. Using a one-sided percentile (nonparametric) confidence interval seems very easy, i.e. for an alpha = 0.05 test, reject H0 if g-hat > the 95th percentile of the bootstrap distribution of g.
My question is, am I overlooking any problems or subtleties stemming from the fact the g is strictly non-negative? Thanks, Greg . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
