title: More about systematic errors in charge-density studies.
abstract: In order to detect and graphically visualize the absence or presence of systematic errors in fit data, conditional probabilities are employed to analyze the statistical independence or dependence of fit residuals. This concept is completely general and applicable to all scientific fields in which model parameters are fitted to experimental data. The applications presented in this work refer to published charge-density data.
authors.affiliation: Emil-Warburg-Weg 6, 95447 Bayreuth, Germany.
authors.forename: Julian
authors.initials: J
authors.lastname: Henn
authors.affiliation: Instituto de Biología Molecular de Barcelona (IBMB-CSIC), Barcelona Science Park, Baldiri Reixach 15, 08028 Barcelona, Spain.
authors.forename: Kathrin
authors.initials: K
authors.lastname: Meindl
keywords: charge-density studies; conditional probability; quality indicators; statistical independence; systematic errors