Del 270 i serien Wiley Series in Probability and Statistics

Exploring the Limits of Bootstrap

Inbunden, Engelska, 1992

AvRaoul Lepage,Raoul LePage,Lynne Billard

3 489 kr

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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.

Produktinformation

Utgivningsdatum1992-04-02
Mått165 x 240 x 30 mm
Vikt851 g
FormatInbunden
SpråkEngelska
SerieWiley Series in Probability and Statistics
Antal sidor448
FörlagJohn Wiley & Sons Inc
ISBN9780471536314

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Matematisk statistik inom Naturvetenskap och teknik

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.