The Jackknife and Bootstrap (Springer Series in Statistics) Export

@book{shao:tu:1996, abstract = {{The Jackknife and bootstrap are the most popular data-resampling methods used in statistical analysis. This book provides a systematic introduction to the theory of the jackknife, bootstrap and other resampling methods that have been developed in the last twenty years. It aims to provide a guide to using these methods which will enable applied statisticians to feel comfortable in applying them to data in their own research. The authors have included examples of applying these methods in various applications in both the independent and identically distributed (iid) case and in more complicated cases with non-iid data sets. Readers are assumed to have a reasonable knowledge of mathematical statistics and so this will be made suitable reading for graduate students, researchers and practitioners seeking a wide-ranging survey of this important area of statistical theory and application.}}, author = {Shao, Jun and Tu, Dongsheng}, citeulike-article-id = {1219540}, citeulike-linkout-0 = {http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/0387945156}, citeulike-linkout-1 = {http://www.amazon.de/exec/obidos/redirect?tag=citeulike01-21&path=ASIN/0387945156}, citeulike-linkout-2 = {http://www.amazon.fr/exec/obidos/redirect?tag=citeulike06-21&path=ASIN/0387945156}, citeulike-linkout-3 = {http://www.amazon.co.uk/exec/obidos/ASIN/0387945156/citeulike00-21}, citeulike-linkout-4 = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/0387945156}, citeulike-linkout-5 = {http://www.worldcat.org/isbn/0387945156}, citeulike-linkout-6 = {http://books.google.com/books?vid=ISBN0387945156}, citeulike-linkout-7 = {http://www.amazon.com/gp/search?keywords=0387945156&index=books&linkCode=qs}, citeulike-linkout-8 = {http://www.librarything.com/isbn/0387945156}, day = {21}, howpublished = {Hardcover}, isbn = {0387945156}, keywords = {asymptotics, bootstrap, brr, ce\_jsm09\_svy\_bstrap, edgeworth\_expansion, jackknife, resampling\_inference, survey\_resampling}, month = {July}, posted-at = {2008-05-01 17:07:06}, priority = {2}, publisher = {Springer}, title = {The Jackknife and Bootstrap (Springer Series in Statistics)}, url = {http://www.amazon.com/exec/obidos/redirect?tag=citeulike07-20&path=ASIN/0387945156}, year = {1995} }

TY - BOOK ID - shao:tu:1996 L3 - citeulike-article-id:1219540 N2 - {The Jackknife and bootstrap are the most popular data-resampling methods used in statistical analysis. This book provides a systematic introduction to the theory of the jackknife, bootstrap and other resampling methods that have been developed in the last twenty years. It aims to provide a guide to using these methods which will enable applied statisticians to feel comfortable in applying them to data in their own research. The authors have included examples of applying these methods in various applications in both the independent and identically distributed (iid) case and in more complicated cases with non-iid data sets. Readers are assumed to have a reasonable knowledge of mathematical statistics and so this will be made suitable reading for graduate students, researchers and practitioners seeking a wide-ranging survey of this important area of statistical theory and application.} SN - 0387945156 TI - The Jackknife and Bootstrap (Springer Series in Statistics) PB - Springer KW - asymptotics KW - bootstrap KW - brr KW - ce_jsm09_svy_bstrap KW - edgeworth_expansion KW - jackknife KW - resampling_inference KW - survey_resampling AU - Shao, Jun AU - Tu, Dongsheng PY - 1995/07/21/ UR - http://www.amazon.ca/exec/obidos/redirect?tag=citeulike09-20&path=ASIN/0387945156 ER -