This article surveys bootstrap methods for producing good approximate confidence intervals.
The goal is to improve by an order of magnitude upon the accuracy of the standard intervals …

This article provides an introduction to the bootstrap. The bootstrap provides statistical
inferences—standard error and bias estimates, confidence intervals, and hypothesis tests …

An Introduction to the Bootstrap arms scientists and engineers as well as statisticians with
the computational techniques they need to analyze and understand complicated data sets …

This book provides the most comprehensive treatment to date of microeconometrics, the
analysis of individual-level data on the economic behavior of individuals or firms using …

A new edition of the classic, groundbreaking book on robust statistics Over twenty-five years
after the publication of its predecessor, Robust Statistics, Second Edition continues to …

Modern computer-intensive statistical methods play a key role in solving many problems
across a wide range of scientific disciplines. This new edition of the bestselling …

Weak instruments arise when the instruments in linear instrumental variables (IV) regression
are weakly correlated with the included endogenous variables. In generalized method of …

This package includes both Mathematical Statistics: Basic Ideas and Selected Topics,
Volume I, Second Edition, as well as Mathematical Statistics: Basic Ideas and Selected …

The jackknife and bootstrap are the most popular data-resampling meth ods used in
statistical analysis. The resampling methods replace theoreti cal derivations required in …

Empirical likelihood provides inferences whose validity does not depend on specifying a
parametric model for the data. Because it uses a likelihood, the method has certain inherent …