Exploring the Limits of Bootstrap

Inbunden, Engelska, 1992

Del 270 i serien Wiley Series in Probability and Statistics

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Beskrivning

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

Utgivningsdatum:1992-04-02
Mått:165 x 240 x 30 mm
Vikt:851 g
Format:Inbunden
Språk:Engelska
Serie:Wiley Series in Probability and Statistics
Antal sidor:448
Förlag:John Wiley & Sons Inc
ISBN:9780471536314

Utforska kategorier

Matematisk statistik inom Naturvetenskap och teknik

Mer om författaren

Raoul LePage is the editor of Exploring the Limits of Bootstrap, published by Wiley. Lynne Billard is an American statistician and professor at the University of Georgia, known for her statistics research, leadership, and advocacy for women in science.

Innehållsförteckning

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.