I am looking for a comprehensive book on bootstrapping.
If you can recommend any, please provide a description of the audience the book is intended to (e.g., beginners vs. advanced) and of how the book is written (i.e., where does it lie on the continuum between "a lot of formulae, a must for a statistician" and "a nice book that explains each concept in a comprehensive way so that everyone can understand").
If there is a book that is the "gold standard" in bootstrapping please mention it. If you favour another book than that one, please state why.
Many thanks in advance!
I can really recommend:
M. R. Chernick: Bootstrap Methods: A Guide for Practitioners and Researchershttp://eu.wiley.com/WileyCDA/WileyTitle/productCd-0471756210,subjectCd-STZ0.html
I could learn a lot from it as a beginner, but there are chapters that allow you gaining also deeper knowledge.
I am not really doing bootstraps but I believe the 'gold standard' is Efron's book "An Introduction to the Bootstrap". It is mathematically oriented. Efron has also a nice article that explains the concepts, Bulletin of the American Mathematical Society 50(1):129 (2013).
a good option is:
An Introduction to Bootstrap Methods with Applications to R
Michael R. Chernick, Robert A. LaBudde
ISBN: 978-0-470-46704-6
240 pages
Hi all,
Thank you all for your insights!
I was waiting to see whether I was going to get more answers but it seems that's not gonna happen.
Thanks again!
Cheers,
SCM
- Badges
- Science topic
- Similar topics
- Mathematics
- Statistics