Exploring the Limits of Bootstrap - Lepage, Raoul
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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.

Produktbeschreibung

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.
  • Produktdetails
  • Verlag: John Wiley & Sons
  • Revised.
  • Seitenzahl: 448
  • 1992
  • Englisch
  • Abmessung: 243mm x 165mm x 28mm
  • Gewicht: 848g
  • ISBN-13: 9780471536314
  • ISBN-10: 0471536318
  • Best.Nr.: 21073153

Inhaltsangabe

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.