Can We Bootstrap Even if CLT Fails?

Dragan Radulović ()
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Dragan Radulović: University of Connecticut

Journal of Theoretical Probability, 1998, vol. 11, issue 3, 813-830

Abstract: Abstract It is shown that in some cases the bootstrap in probability holds under conditions weaker than necessary for the original empirical Central Limit Theorem.

Keywords: Gaussian process; bootstrap; empirical process (search for similar items in EconPapers)
Date: 1998
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Citations: View citations in EconPapers (1)

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DOI: 10.1023/A:1022662800620

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