GOOD: This book is in excellent condition, but because a previous owner’s name is written on the front end page, it can only be graded as good. No other pages have writing on them. The book was printed on acid-free paper.
Product Details
This volume is part of theSpringer Series in Statistics .
From the back cover: "Chapter 1 is about the bootstrap, with almost no mention of Edgeworth expansion; Chapter 2 is about Edgeworth expansion, with scarcely a word about the bootstrap; and Chapter 3 and 4 bring these two themes together, using Edgeworth expansion to explore and develop the properties of the bootstrap.
"This book is aimed at a graduate level audience who have some exposure to the methods of theoretical statistics. However, technical details are delayed until the last Chapter (entitled 'Details of Mathematical Rigour'), and so a mathematically able reader without knowledge of the rigorous theory of probability will have not 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."
BRIEF CONTENTS
Preface
Common Notation
1. Principles of Bootstrap Methodology
2. Principles of Edgeworth Expansion
3. An Edgeworth View of the Bootstrap
4. Bootstrap Curve Estimation
5. Details of Mathematical Rigour
Appendix I. Number and Sizes of Atoms of Nonparametric Bootstrap Distribution
Appendix II. Monte Carlo Simulation
Appendix III. Confidence Pictures
Appendix IV. A Non-Standard Example: Quantile Error Estimation
