https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi?db=pubmed&id=25176997&retmode=xml&tool=Litmetric&email=readroberts32@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09 251769972015041320140901
2053-273370Pt 52014SepActa crystallographica. Section A, Foundations and advancesActa Crystallogr A Found AdvMore about systematic errors in charge-density studies.499513499-51310.1107/S2053273314012984In 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.HennJulianJEmil-Warburg-Weg 6, 95447 Bayreuth, Germany.MeindlKathrinKInstituto de Biología Molecular de Barcelona (IBMB-CSIC), Barcelona Science Park, Baldiri Reixach 15, 08028 Barcelona, Spain.engJournal Article20140830
United StatesActa Crystallogr A Found Adv1016201822053-2733charge-density studiesconditional probabilityquality indicatorsstatistical independencesystematic errors
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