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A goodness-of-fit statistical toolkit

Journal Article


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. In this paper we describe the statistical details of the algorithms and the computational features of the Toolkit. With the aim of showing the consistency between the code and the mathematical features of the algorithms, we describe the results we obtained reproducing by means of the Toolkit a couple of Goodness-of-Fit testing examples of relevance in statistics literature.

Publication Date


  • 2004

Citation


  • Cirrone, G. A. P., Donadio, S., Guatelli, S., Mantero, A., Mascialino, B., Parlati, S., . . . Viarengo, P. (2004). A goodness-of-fit statistical toolkit. IEEE Transactions on Nuclear Science, 51(5 I), 2056-2063. doi:10.1109/TNS.2004.836124

Scopus Eid


  • 2-s2.0-8344234316

Start Page


  • 2056

End Page


  • 2063

Volume


  • 51

Issue


  • 5 I

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. In this paper we describe the statistical details of the algorithms and the computational features of the Toolkit. With the aim of showing the consistency between the code and the mathematical features of the algorithms, we describe the results we obtained reproducing by means of the Toolkit a couple of Goodness-of-Fit testing examples of relevance in statistics literature.

Publication Date


  • 2004

Citation


  • Cirrone, G. A. P., Donadio, S., Guatelli, S., Mantero, A., Mascialino, B., Parlati, S., . . . Viarengo, P. (2004). A goodness-of-fit statistical toolkit. IEEE Transactions on Nuclear Science, 51(5 I), 2056-2063. doi:10.1109/TNS.2004.836124

Scopus Eid


  • 2-s2.0-8344234316

Start Page


  • 2056

End Page


  • 2063

Volume


  • 51

Issue


  • 5 I