| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1833032 | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment | 2006 | 5 Pages |
Abstract
A method is presented to construct goodness-of-fit statistics in many dimensions, whose distribution becomes Gaussian in the limit of large data samples if also the number of dimensions becomes large. Furthermore, an explicit example is presented, for which this distribution as good as only depends on the expectation value and the variance of the statistic for any dimension larger than one.
Related Topics
Physical Sciences and Engineering
Physics and Astronomy
Instrumentation
Authors
A. van Hameren,