Testing Consistency of Two Histograms
| dc.creator | Porter, Frank C. | |
| dc.date | 2008-04-02 | |
| dc.date.accessioned | 2026-07-07T09:29:53Z | |
| dc.date.available | 2026-07-07T09:29:53Z | |
| dc.description | Several approaches to testing the hypothesis that two histograms are drawn from the same distribution are investigated. We note that single-sample continuous distribution tests may be adapted to this two-sample grouped data situation. The difficulty of not having a fully-specified null hypothesis is an important consideration in the general case, and care is required in estimating probabilities with ``toy'' Monte Carlo simulations. The performance of several common tests is compared; no single test performs best in all situations. | |
| dc.description | 35 pages, 15 figures, 5 tables. Plain TeX. Uses graphicx external package. For better quality figures, go to: http://www.hep.caltech.edu/~fcp/statistics/hypothesisTest/PoissonConsistency/PoissonConsistency.pdf | |
| dc.identifier | https://arxiv.org/abs/0804.0380 | |
| dc.identifier | http://arxiv.org/abs/0804.0380 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/157952 | |
| dc.subject | Data Analysis, Statistics and Probability | |
| dc.subject | High Energy Physics - Experiment | |
| dc.subject | Methodology | |
| dc.title | Testing Consistency of Two Histograms | |
| dc.type | text |