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Proofs of Results of Chapter II

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The Weighted Bootstrap

Part of the book series: Lecture Notes in Statistics ((LNS,volume 98))

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Abstract

We use similar techniques as in the proof of Proposition I.2.2. We first observe the obvious equality

$$ \Sigma_{{i = 1}}^n\;\left( {{W_{{1,n}}} - {{1} \left/ {n} \right.}} \right)\;h\left( {{X_i}} \right) $$
$$ = {n^{{ - 1}}}\Sigma_{{i = 1}}^n\left( {{Y_{{i,n}}} - 1} \right)h\left( {{X_i}} \right) + \quad {\overline {{Y_n}}^{{ - 1}}}\left( {1 - \overline {{Y_n}} } \right)\quad {n^{{ - 1}}}\Sigma_{{i = 1}}^n{Y_{{i,n}}}h\left( {{X_i}} \right) $$

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© 1995 Springer-Verlag New York, Inc.

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Barbe, P., Bertail, P. (1995). Proofs of Results of Chapter II. In: The Weighted Bootstrap. Lecture Notes in Statistics, vol 98. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2532-4_6

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  • DOI: https://doi.org/10.1007/978-1-4612-2532-4_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-94478-4

  • Online ISBN: 978-1-4612-2532-4

  • eBook Packages: Springer Book Archive

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