Computation of confidence intervals for Poisson processes

被引:3
作者
Aguilar-Saavedra, JA [1 ]
机构
[1] Univ Granada, Dept Fis Teor & Cosmos, E-18071 Granada, Spain
关键词
D O I
10.1016/S0010-4655(00)00035-7
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We present an algorithm which allows a fast numerical computation of Feldman-Cousins confidence intervals for Poisson processes, even when the number of background events is relatively large. This algorithm incorporates an appropriate treatment of the singularities that arise as a consequence of the discreteness of the variable. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:190 / 203
页数:14
相关论文
共 8 条
[1]  
EITEL K, HEPEX9809007
[2]   Unified approach to the classical statistical analysis of small signals [J].
Feldman, GJ ;
Cousins, RD .
PHYSICAL REVIEW D, 1998, 57 (07) :3873-3889
[3]   New ordering principle for the classical statistical analysis of Poisson processes with background [J].
Giunti, C .
PHYSICAL REVIEW D, 1999, 59 (05)
[4]  
Neyman J, 1937, PHILOS T R SOC A, VA 236, P333
[5]  
Press W. H., 1986, NUMERICAL RECIPES
[6]   Improved probability method for estimating signal in the presence of background [J].
Roe, BP ;
Woodroofe, MB .
PHYSICAL REVIEW D, 1999, 60 (05)
[7]  
Wolfram Stephen., 1988, Mathematica: A system for Doing Mathematics by Computer, V2nd
[8]  
ZEITNITZ B, NEUTR 98