|
|
Article: Using the Bootstrap Method for a Statistical Significance Test of Differences between Summary Histograms
- Article from:
- Monthly Weather Review
- Article date:
- May 1, 2006
- Author:
CopyrightCopyright American Meteorological Society May 2006. Provided by ProQuest LLC. (Hide copyright information)
|
ABSTRACT
A new method is proposed to compare statistical differences between summary histograms, which are the histograms summed over a large ensemble of individual histograms. It consists of choosing a distance statistic for measuring the difference between summary histograms and using a bootstrap procedure to calculate the statistical significance level. Bootstrapping is an approach to statistical inference that makes few assumptions about the underlying probability distribution that describes the data. Three distance statistics are compared in this study. They are the Euclidean distance, the Jeffries-Matusita distance, and the Kuiper distance.
The data used in testing the bootstrap ...