Tables for
Volume C
Mathematical, physical and chemical tables
Edited by E. Prince

International Tables for Crystallography (2006). Vol. C, ch. 8.5, pp. 707-709

Chapter 8.5. Detection and treatment of systematic error

E. Princea and C. H. Spiegelmanb

aNIST Center for Neutron Research, National Institute of Standards and Technology, Gaithersburg, MD 20899, USA, and bDepartment of Statistics, Texas A&M University, College Station, TX 77843, USA


Abrahams, S. C. & Keve, E. T. (1971). Normal probability plot analysis of error in measured and derived quantities and standard deviations. Acta Cryst. A27, 157–165.
Beckman, R. J. & Cook, R. D. (1983). Outlier..........s. Technometrics, 25, 119–149.
Belsley, D. A. (1991). Conditioning diagnostics. New York: John Wiley & Sons.
Belsley, D. A., Kuh, E. & Welsch, R. E. (1980). Regression diagnostics. New York: John Wiley & Sons.
Chatterjee, S. & Hadi, A. S. (1986). Influential observations, high leverage points, and outliers in linear regression. Stat. Sci. 1, 379–393.
Fedorov, V. V. (1972). Theory of optimal experiments, translated by W. J. Studden & E. M. Klimko. New York: Academic Press.
ISO (1993). Guide to the expression of uncertainty in measurement. Geneva: International Organization for Standardization.
Kafadar, K. & Spiegelman, C. H. (1986). An alternative to ordinary Q–Q plots: conditional Q–Q plots. Comput. Stat. Data Anal. 4, 167–184.
Prince, E. (1994). Mathematical techniques in crystallography and materials science, 2nd ed. Berlin/Heidelberg/New York/London/Paris/Tokyo/Hong Kong/Barcelona/Budapest: Springer-Verlag.
Prince, E. & Nicholson, W. L. (1985). Influence of individual reflections on the precision of parameter estimates in least squares refinement. Structure and statistics in crystallography, edited by A. J. C. Wilson, pp. 183–195. Guilderland, NY: Adenine Press.