Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Since Efron's profound paper on the bootstrap, an enormous amount of effort has been spent on the development of bootstrap, jacknife, and other resampling methods. The primary goal of these computer-intensive methods has been to provide statistical tools that work in complex situations without imposing unrealistic or unverifiable assumptions about the data generating mechanism. The primary goal of this book is to lay some of the foundation for subsampling methodology and related methods.
Similar content being viewed by others
Keywords
Table of contents (13 chapters)
-
Front Matter
-
Extensions, Practical Issues, and Applications
-
Front Matter
-
-
Back Matter
Reviews
"The book is one of the most comprehensive texts in the subsampling realm and provides a solid background for researchers working in the related areas of statistics."
V.V. Fedorov in "Short Book Reviews", Vol. 21/1, April 2001
V.V. Fedorov in "Short Book Reviews", Vol. 21/1, April 2001
Authors and Affiliations
Bibliographic Information
Book Title: Subsampling
Authors: Dimitris N. Politis, Joseph P. Romano, Michael Wolf
Series Title: Springer Series in Statistics
DOI: https://doi.org/10.1007/978-1-4612-1554-7
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1999
Hardcover ISBN: 978-0-387-98854-2Published: 13 August 1999
Softcover ISBN: 978-1-4612-7190-1Published: 30 October 2012
eBook ISBN: 978-1-4612-1554-7Published: 06 December 2012
Series ISSN: 0172-7397
Series E-ISSN: 2197-568X
Edition Number: 1
Number of Pages: XV, 348
Topics: Statistical Theory and Methods