Standard Article

You have free access to this content

Bootstrap Resampling

Statistical and Numerical Computing

  1. Philip M. Dixon

Published Online: 15 SEP 2006

DOI: 10.1002/9780470057339.vab028

Encyclopedia of Environmetrics

Encyclopedia of Environmetrics

How to Cite

Dixon, P. M. 2006. Bootstrap Resampling. Encyclopedia of Environmetrics. 1.

Author Information

  1. Iowa State University, IA, USA

Publication History

  1. Published Online: 15 SEP 2006

Abstract

The bootstrap is a resampling method for statistical inference. It is commonly used to estimate confidence intervals, but it can also be used to estimate bias and variance of an estimator or calibrate hypothesis tests. This article will illustrate bootstrap concepts using a simple example, describe different types of bootstraps and some of their theoretical and practical properties, discuss computation and other details, and indicate extensions that are especially appropriate for environmetric data. The methods will be illustrated using data on heavy metal concentrations in groundwater and magnesium concentration in blood.