Ueber eine Einbringung der Boskovic-Laplace-Methode bei der ausgleichenden Geraden nach der Methode der kleinsten Quadra...
Germany
Comparing statistical data to Monte Carlo simulation - parameter fitting and unfolding
The author presents an introduction to the statistical analysis of experimental data by means of Monte Carlo simulations. After a description of the #chi#"2 test of a hypothesis the least-square and maximum-likelihood fits to Monte Carlo distributions are described. Then unfolding is described. Finally confidence intervals are studied, and the comp...
Comparing statistical data to Monte Carlo simulation - parameter fitting and unfolding
Germany
On the use of the covariance matrix to fit correlated data
Germany
On the use of the covariance matrix to fit correlated data
Germany
On the use of the covariance matrix to fit correlated data
Germany
On the use of the covariance matrix to fit correlated data
Germany
On the use of the covariance matrix to fit correlated data
Germany
On the use of the covariance matrix to fit correlated data
Germany
On the use of the covariance matrix to fit correlated data
The best fits to data which are affected by systematic uncertainties on the normalization factor have the tendency to produce curves lower than expected, if the covariance matrix of the data points is used in the definition of the #chi#"2. This paper shows that the effect is a direct consequence of the hypothesis used to estimate the empirical cova...
