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Bootstrapping Empirical Processes

Part of the Springer Series in Statistics book series (SSS)

The purpose of this chapter is to obtain consistency results for bootstrapped empirical processes. These results can then be applied to many kinds of bootstrapped estimators since most estimators can be expressed as functionals of empirical processes. Much of the bootstrap results for such estimators will be deferred to later chapters where we discuss the functional delta method, Z-estimation and M-estimation. We do, however, present one specialized result for parametric Z-estimators in Section 3 of this chapter as a practical illustration of bootstrap techniques.

Keywords

Empirical Process Separable Banach Space Continuous Mapping Theorem Bootstrap Result Lipschitz Norm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2008

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