The present project in progress develops an object-oriented software toolkit for statistical data analysis. The Goodness-of-Fit (GoF) Statistical Comparison component of the toolkit provides algorithms for the comparison of data distributions in a variety of use cases typical of physics experiments. The system contains a variety of two-sample GoF tests, from chi-squared to tests based on the maximum distance between the two empirical distribution functions (Kolmogorov-Smirnov, Kuiper, Goodman), to tests based on the weighted quadratic distance between the two empirical distribution functions (Cramer-von Mises, Anderson-Darling). Thanks to its flexible design the GoF Statistical Toolkit has been recently extended, implementing other less known GoF tests (weighted formulations of Kolmogorov-Smirnov and Cramer-von Mises tests, Watson and Tiku tests).
An upadate on the goodness of fit statistical toolkit / B., Mascialino; M. G., Pia; A., Pfeiffer; A., Ribon; Viarengo, Paolo. - STAMPA. - (2006), pp. 190-192. (Intervento presentato al convegno Phystat2005, Statistical Problems in Particle Physics, Astrophysics and Cosmology tenutosi a Oxford, UK nel 12-15/9/2005).
An upadate on the goodness of fit statistical toolkit
VIARENGO, PAOLO
2006
Abstract
The present project in progress develops an object-oriented software toolkit for statistical data analysis. The Goodness-of-Fit (GoF) Statistical Comparison component of the toolkit provides algorithms for the comparison of data distributions in a variety of use cases typical of physics experiments. The system contains a variety of two-sample GoF tests, from chi-squared to tests based on the maximum distance between the two empirical distribution functions (Kolmogorov-Smirnov, Kuiper, Goodman), to tests based on the weighted quadratic distance between the two empirical distribution functions (Cramer-von Mises, Anderson-Darling). Thanks to its flexible design the GoF Statistical Toolkit has been recently extended, implementing other less known GoF tests (weighted formulations of Kolmogorov-Smirnov and Cramer-von Mises tests, Watson and Tiku tests).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
