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Exploring the Limits of Bootstrap : Wiley Series in Probability and Statistics - Raoul LePage

Exploring the Limits of Bootstrap

Wiley Series in Probability and Statistics

By: Raoul LePage (Editor), Lynne Billard (Editor)

Hardcover Published: 24th February 1992
ISBN: 9780471536314
Number Of Pages: 448

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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.

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 and Canonical Correlation Analysis (X. Tu, et al.).

Index.

ISBN: 9780471536314
ISBN-10: 0471536318
Series: Wiley Series in Probability and Statistics
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 448
Published: 24th February 1992
Country of Publication: US
Dimensions (cm): 24.0 x 16.5  x 3.0
Weight (kg): 0.84
Edition Number: 1

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