Bootstrap methods have gained wide acceptance and huge popularity in the field of applied
statistics. The bootstrap is able to provide accurate answers in cases where other methods …

BACKGROUND: The concept of resampling data–more commonly referred to as
bootstrapping–has been in use for more than three decades. Bootstrapping has …

Since the early 1980s, a bewildering array of methods for constructing bootstrap confidence
intervals have been proposed. In this article, we address the following questions. First, when …

Confidence intervals are widely accepted as a preferred way to present study results. They
encompass significance tests and provide an estimate of the magnitude of the effect …

It has been more than 15 years since Efron's (1979) monumental paper on bootstrap
methods. This paper has had a major impact on the field of statistics. In Kotz and Johnson's …

The problem of detecting a shift of a percentile of a Weibull population in a process
monitoring situation is considered. The parametric bootstrap method is used to establish …

Ecological research and the way that ecologists use statistics continues to change rapidly.
This second edition of the best-selling Design and Analysis of Ecological Experiments leads …

Untitled Page 1 Page 2 Phillip I. Good Resampling Methods A Practical Guide to Data Analysis
Third Edition Birkhäuser Boston • Basel • Berlin Page 3 Phillip I. Good 205 West Utica Avenue …

Spatial autocorrelation techniques are commonly used to describe genetic and ecological
patterns. To improve statistical inference about spatial covariance, we propose a continuous …

This paper puts forward an overall view of statistics. It is argued that statistics is the study of
uncertainty. The many demonstrations that uncertainties can only combine according to the …