Experimental test of the probability density function of true value of Poisson distribution parameter by single observation of number of events
arXiv:physics/0403069 · doi:10.1016/j.nima.2004.07.092
Abstract
The empirical probability density function for the conditional distribution of the true value of Poisson distribution parameter on one measurement is constructed by computer experiment. The analysis of the obtained distributions confirms that these distributions are gamma-distributions.
presented in the IX International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT'03), KEK, Tsukuba, Japan, December 1-5, 2003
References in corpus (4)
- A Unified Approach to the Classical Statistical Analysis of Small Signals
- Confidence Intervals for Poisson Distribution Parameter
- Signal Significance in the Presence of Systematic and Statistical Uncertainties
- Coverage Of Confidence Intervals For Poisson Statistics In Presence Of Systematic Uncertainties