On the bootstrap and confidence intervals
Abstract
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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