New ordering principle for the classical statistical analysis of Poisson processes with background

被引：22

作者：

Giunti, C

机构：

[1] Ist Nazl Fis Nucl, Sez Torino, I-10125 Turin, Italy

[2] Univ Turin, Dipartimento Fis Teor, I-10125 Turin, Italy

来源：

PHYSICAL REVIEW D | 1999年 / 59卷 / 05期

关键词：

D O I：

10.1103/PhysRevD.59.053001

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Inspired by the recent proposal by Feldman and Cousins of a "unified approach to the classical statistical analysis of small signals" based on a choice of ordering in Neyman's construction of classical confidence intervals, I propose a new ordering principle for the classical statistical analysis of Poisson processes with a background which minimizes the effect on the resulting confidence intervals of the observation of fewer background events than expected. The new ordering principle is applied to the calculation of the confidence region implied by the recent null result of the KARMEN neutrino oscillation experiment. [S0556-2821(99)00503-2].

引用

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