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Titlebook: When Does Bootstrap Work?; Asymptotic Results a Enno Mammen Book 1992 Springer-Verlag New York, Inc. 1992 Mathematica.approximation.functio

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,Higher — order accuracy of bootstrap for smooth functionals, 1987). The idea of the proof in this chapter is to make a direct comparison of the bootstrap estimate and the true distribution using the idea of Lindeberg’s proof of the central limit theorem. The proof does not use Edgeworth expansions. The results of this chapter are also contained in Mammen(1990).
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Bootstrapping robust regression,e X.’s and β are p-dimensional vectors, the Y.’s are the observations and the ε .’s are i.i.d. errors distributed according to a distribution P. The X.’s and p may depend on n (see the discussion of this point in the last chapter). The content of this chapter is also contained in Mammen(1989a).
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