Exploring the Limits of Bootstrap
1st Edition
Published on 2. April 1992
Book
Hardback
448 pages
978-0-471-53631-4 (ISBN)
Description
Explores the application of bootstrap to problems that place unusual demands on the method. The bootstrap method, introduced by Bradley Efron in 1973, is a nonparametric technique for inferring the distribution of a statistic derived from a sample. Most of the papers were presented at a special meeting sponsored by the Institute of Mathematical Statistics and the Interface Foundation in May, 1990.
More details
Series
Language
English
Place of publication
United States
Publishing group
John Wiley & Sons Inc
Target group
College/higher education
Professional and scholarly
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 28 mm
Weight
830 gr
ISBN-13
978-0-471-53631-4 (9780471536314)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Raoul LePage is the editor of Exploring the Limits of Bootstrap, published by Wiley. Lynne Billard is an American statistician and professor at the University of Georgia, known for her statistics research, leadership, and advocacy for women in science.
Content
Partial table of contents:
GENERAL PRINCIPLES OF THE BOOTSTRAP.
On the Bootstrap of M-Estimators and Other Statistical Functionals(M. Arcones & E. Gine).
Bootstrapping Markov Chains (K. Athreya & C. Fuh).
Six Questions Raised by the Bootstrap (B. Efron).
Efficient Bootstrap Simulation (P. Hall).
Bootstrapping Signs (R. LePage).
Bootstrap Bandwidth Selection (J. Marron).
APPLICATIONS OF THE BOOTSTRAP.
A Generalized Bootstrap (E. Bedrick & J. Hill).
Bootstrapping Admissible Linear Model Selection Procedures (D.Brownstone).
A Hazard Process for Survival Analysis (J. Hsieh).
A Nonparametric Density Estimation Based Resampling Algorithm (M.Taylor & J. Thompson).
Nonparametric Rank Estimation Using Bootstrap Resampling andCanonical Correlation Analysis (X. Tu, et al.).
Index.
GENERAL PRINCIPLES OF THE BOOTSTRAP.
On the Bootstrap of M-Estimators and Other Statistical Functionals(M. Arcones & E. Gine).
Bootstrapping Markov Chains (K. Athreya & C. Fuh).
Six Questions Raised by the Bootstrap (B. Efron).
Efficient Bootstrap Simulation (P. Hall).
Bootstrapping Signs (R. LePage).
Bootstrap Bandwidth Selection (J. Marron).
APPLICATIONS OF THE BOOTSTRAP.
A Generalized Bootstrap (E. Bedrick & J. Hill).
Bootstrapping Admissible Linear Model Selection Procedures (D.Brownstone).
A Hazard Process for Survival Analysis (J. Hsieh).
A Nonparametric Density Estimation Based Resampling Algorithm (M.Taylor & J. Thompson).
Nonparametric Rank Estimation Using Bootstrap Resampling andCanonical Correlation Analysis (X. Tu, et al.).
Index.