Description

Book Synopsis
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.

Table of Contents
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.

Exploring the Limits of Bootstrap

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    A Hardback by Raoul LePage, Lynne Billard

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      Publisher: John Wiley & Sons Inc
      Publication Date: 02/04/1992
      ISBN13: 9780471536314, 978-0471536314
      ISBN10: 0471536318
      Also in:
      Mathematics

      Description

      Book Synopsis
      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.

      Table of Contents
      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.

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