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The Bootstrap and Edgeworth Expansion (Springer Series in Statistics)

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This monograph addresses two quite different topics in the belief that each can shed light on the other. Firstly it lays the foundation for a particular view of the bootstrap. Secondly it gives an account of Edgeworth expansion. Chapter 1 is about the bootstrap witih almost no mention of Edgeworth expansion; Chapter 2 is about Edgeworth expansion with scarcely a word about the bootstrap; and Chapters 3 and 4 bring these two themes together using Edgeworth expansion to explore and develop the properites of the bootstrap. The book is aimed a a graduate level audience who has some exposure to the methods of theoretical statistics. However technical details are delayed until the last chapter (entitled "Details of Mathematical Rogour") and so a mathematically able reader without knowledge of the rigorous theory of probability will have no trouble understanding the first four-fifths of the book. The book simultaneously fills two gaps in the literature; it provides a very readable graduate level account of the theory of Edgeworth expansion and it gives a detailed introduction to the theory of bootstrap methods.