Exploring the limits of bootstrap
著者
書誌事項
Exploring the limits of bootstrap
（Wiley series in probability and mathematical statistics, . Probability and mathematical statistics）
Wiley, c1992
大学図書館所蔵 件 / 全46件
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417.6-L55923001266,10092302820,10092302821,10093380176,10093380185,10093380512
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注記
"A Wiley-interscience publication"
"Presented at a special topics meeting of the Institute of Mathematical Statistics held in East Lansing in May 1990"--Pref
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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.
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