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On the bootstrap and confidence intervals

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Martin, Michael A

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In this thesis, we discuss the use of bootstrap methods for constructing confidence intervals in a wide variety of circumstances. In particular, we provide asymptotic theory for bootstrap confidence intervals based on Edgeworth expansions in several problems, and develop a general bootstrap resampling scheme applicable to a large range of statistical problem s. The thesis is divided into five chapters. The first gives a brief introduction to bootstrap methods and Edgeworth expansion theory to provide a background and motivation for our later work.

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