ReferencesAbramowitz, M. and Stegun, I. A. (1964). Handbook of Mathematical Functions. New York, Dover Publications.
Barlow, R. (1989). Statistics – A Guide to the Use of Statistical Methods in the Physical Sciences. New York, Wiley.
Bayes, T. (1763). Phil. Trans. Roy. Soc. 53, 370–418. Reprinted in Biometrika 45, 293–315 (1958).
Bayes, T. (1764). Phil. Trans. Roy. Soc. 54, 296–325.
Berendsen, H. J. C. (1997). Goed Meten met Fouten. University of Groningen.
Berendsen, H. J. C. (2007). Simulating the Physical World. Cambridge, Cambridge University Press.
Bevington, P. R. and Robinson, D. K. (2003). Data Reduction and Error Analysis for the Physical Sciences, 3rd edn. (first edn. (1969). New York, McGraw-Hill.
Beyer, W. H. (1991). CRC Standard Probability and Statistics Tables and Formulae. Boca Raton, Fla., CRC Press.
Birkes, D. and Dodge, Y. (1993). Alternative Methods of Regression. New York, Wiley.
Box, G. E. P. and Tiao, G. C. (1973). Bayesian Inference in Statistical Analysis. Reading, Mass., Addison-Wesley.
Cox, D. R. (2006). Principles of Statistical Inference. Cambridge, Cambridge University Press.
Cramér, H. (1946). Mathematical Methods of Statistics. Princeton, NJ, Princeton University Press.
CRC Handbook (each year). Handbook of Chemistry and Physics. Boca Raton, Fla., CRC Press.
Efron, B. and Tibshirani, R. J. (1993). An Introduction to the Bootstrap. London, Chapman & Hall.
Frenkel, D. and Smit, B. (2002). Understanding Molecular Simulation. From Algorithms to Applications. 2nd edn., San Diego, Academic Press.
Gardner, M. (1957). Fads and Fallacies in the Name of Science. New York, Dover Publications.
Gosset, W. S. (1908). The probable error of a mean. Biometrica 6, 1.
Hald, A. (2007). A History of Parametric Statistical Inference from Bernoulli to Fisher, 1713–1935. New York, Springer.
Hammersley, J. M. and Handscomb, D. C. (1964). Monte Carlo Methods. London, Chapman and Hall.
Hess, B. (2002). Determining the shear viscosity of model liquids from molecular dynamics simulations. J. Chem. Phys. 116, 209–217.
Huber, P. J. and Ronchetti, E. M. (2009). Robust Statistics. 2nd edn., Hoboken, NJ, Wiley.
Huff, D. (1973). How to Lie with Statistics. Harmondsworth, Penguin Books.
Jeffreys, H. (1939). Theory of Probability. Oxford, Oxford University Press.
Lee, P. M. (1989). Bayesian Statistics: An Introduction. New York, Oxford University Press.
Petruccelli, J., Nandram, B. and Chen, M. (1999). Applied Statistics for Engineers and Scientists. Upper Saddle River, NJ, Prentice Hall.
Press, W. H.Teukolsky, A. A., Vetterling, W. T. and Flannery, B. P. (1992). Numerical Recipes, The Art of Scientific Computing. 2nd edn., Cambridge, Cambridge University Press.
Price, N. C. and Dwek, R. A. (1979). Principles and Problems in Physical Chemistry for Biochemists. 2nd edn., Oxford Press, Clarendon Press.
Skyrms, B. (1966). Choice and Chance. Belmont, Cal., Wadsworth Publishing.
Straatsma, T. P., Berendsen, H. J. C. and Stam, A. J. (1986). Estimation of statistical errors in molecular simulation calculations. Mol. Phys. 57, 89.
Taylor, J. R. (1997). An Introduction to Error Analysis. The Study of Uncertainties in Physical Measurements, 2nd edn. (first edn. 1982). Sausalito, Cal., University Science Books.
Van Kampen, N. G. (1981). Stochastic Processes in Physics and Chemistry. Amsterdam, North-Holland.
Walpole, R. E., Myers, R. H., Myers, S. L. and Ye, K. (2007). Probability and Statistics for Engineers and Scientists. 8th rev. edn., Upper Saddle River, NJ, Prentice Hall.
Wolter, K. M. (2007). Introduction to Variance Estimation. New York, Springer.