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Academic & Professional Books  Reference  Data Analysis & Modelling  Data Analysis & Statistics

Exploring the Limits of Bootstrap

By: R Lepage
442 pages
Exploring the Limits of Bootstrap
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  • Exploring the Limits of Bootstrap ISBN: 9780471536314 Hardback Apr 1992 Not in stock: Usually dispatched within 2-3 weeks
    £204.95
    #25823
Price: £204.95
About this book Contents Customer reviews Related titles

About this book

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.

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

Customer Reviews

By: R Lepage
442 pages
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