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> The entire point of the bootstrap is that it does not require the either the original or the sampling distribution to be normal What I wanted to say that you
by solomatov 11y ago
> The entire point of the bootstrap is that it does not require the either the original or the sampling distribution to be normal
What I wanted to say that you can just blindly apply bootstrap for every distribution. You should carefully check applicability conditions, before using it, or you could easily get nonsensical results.
- stdbrouw 11y agoYou can't blindly apply the bootstrap to any problem whatsoever. But you really, absolutely, unequivocally can blindly apply the bootstrap to generate a confidence interval around the mean of data generated from any distribution. You cannot easily get nonsensical results. In a few rare edge cases, you can get suboptimal results (e.g. 80% instead of 95% coverage, or 99% coverage instead of 95% coverage) but even these are not nonsensical. I really don't see why you want to be arguing over facts.