Machine derived contents note: Partial table of contents: -- General Principles Of The Bootstrap. -- On the Bootstrap of M-Estimators and Other Statistical Functionals (M. Arcones & E. Gin?). -- 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
Analysis
Statistical inference
Notes
"A Wiley-interscience publication"
"Presented at a special topics meeting of the Institute of Mathematical Statistics held in East Lansing in May 1990"--Pref
