Data analysis is an essential section of all physics experiments; in spite of this only a few analysis standard toolkits are available. Concerning the comparison between distributions, almost all these toolkits are limited to the Chi-squared test. Statistics provides a whole chapter of Goodness-of-Fit tests, from the Chi-squared to tests based on maximum distance (Kolmogorov-Smirnov, Kuiper, Goodman), to tests based on quadratic distance (Fisz-Cramer-von Mises, Anderson-Darling, Tiku). All of these Goodness-of-Fit tests have been collected in a new open-source Statistical Toolkit.
Application of statistical methods for the comparison of data distributions / S., Guatelli; B., Mascialino; A., Pfeiffer; M. G., Pia; A., Ribon; Viarengo, Paolo. - STAMPA. - 4:(2004), pp. 2086-2090. (Intervento presentato al convegno Nuclear Science Symposium Conference, 2004 IEEE tenutosi a Roma nel 16-22/10/2004) [10.1109/NSSMIC.2004.1462674].
Application of statistical methods for the comparison of data distributions
VIARENGO, PAOLO
2004
Abstract
Data analysis is an essential section of all physics experiments; in spite of this only a few analysis standard toolkits are available. Concerning the comparison between distributions, almost all these toolkits are limited to the Chi-squared test. Statistics provides a whole chapter of Goodness-of-Fit tests, from the Chi-squared to tests based on maximum distance (Kolmogorov-Smirnov, Kuiper, Goodman), to tests based on quadratic distance (Fisz-Cramer-von Mises, Anderson-Darling, Tiku). All of these Goodness-of-Fit tests have been collected in a new open-source Statistical Toolkit.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
