Statistical methods play a significant role throughout the life-cycle of physics experiments, being an essential component of physics analysis. The present project in progress aims to develop an object-oriented software Toolkit for statistical data analysis. The Toolkit contains a variety of Goodness-of-Fit (GoF) 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. 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.
A goodness-of-fit statistical toolkit / G. P., Cirrone; S., Donadio; S., Guatelli; A., Mantero; B., Mascialino; S., Parlati; M. G., Pia; A., Pfeiffer; A., Ribon; Viarengo, Paolo. - In: IEEE TRANSACTIONS ON NUCLEAR SCIENCE. - ISSN 0018-9499. - STAMPA. - 51:5(2004), pp. 2056-2063. [10.1109/TNS.2004.836124]
A goodness-of-fit statistical toolkit
VIARENGO, PAOLO
2004
Abstract
Statistical methods play a significant role throughout the life-cycle of physics experiments, being an essential component of physics analysis. The present project in progress aims to develop an object-oriented software Toolkit for statistical data analysis. The Toolkit contains a variety of Goodness-of-Fit (GoF) 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. 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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
