A statistical toolkit for data analysis

被引：0
|
作者：
Donadio, S
Guatelli, S
Mascialino, B
Pfeiffer, A
Pia, MG
Ribon, A
Viarengo, P
机构：
[1] Univ Genoa, I-16146 Genoa, Italy
[2] Ist Nazl Fis Nucl, I-16146 Genoa, Italy
[3] CERN, CH-1122 Geneva, Switzerland
[4] IST, Natl Canc Res Inst, I-16132 Genoa, Italy
来源：
NUCLEAR PHYSICS B-PROCEEDINGS SUPPLEMENTS | 2006年 / 150卷
关键词：
D O I：
10.1016/j.nuclphysbps.2004.07.001
中图分类号：
O412 [相对论、场论]; O572.2 [粒子物理学];
学科分类号：
摘要：
The present project aims to develop an open-source and object-oriented software Toolkit for statistical data analysis. Its statistical testing component contains a variety of Goodness-of-Fit tests, from Chi-squared to Kolmogorov-Smirnov, to less known, but generally much more powerful tests such as Anderson-Darling, Goodman, Fisz-Cramer-von Mises, Kuiper, Tiku. Thanks to the component-based design and the usage of the standard abstract interfaces for data analysis, this tool can be used by other data analysis systems or integrated in experimental software frameworks. This Toolkit has been released and is downloadable from the web. In this paper we describe the statistical details of the algorithms, the computational features of the Toolkit and describe the code validation.
引用
收藏
页码：50 / 53
页数：4
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