User:Wile E. Heresiarch/bibliography


 * Milton Abramowitz and Irene A. Stegun, eds. Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. New York: Dover, 1972.


 * Robert Piessens, Elise de Doncker-Kapenga, C.W. Überhuber, D.K. Kahaner. QUADPACK, A subroutine package for automatic integration. Springer Verlag, 1983.


 * William H. Press, Brian P. Flannery, Saul A. Teukolsky, William T. Vetterling. Numerical Recipes in C. Cambridge, UK: Cambridge University Press, second edition 1992. ISBN 0-521-43108-5


 * Josef Stoer and Roland Bulirsch. Introduction to Numerical Analysis. New York: Springer-Verlag, 1980.


 * Regina Elandt-Johnson and Norman Johnson. Survival Models and Data Analysis. New York: John Wiley & Sons. 1980/1999.


 * Andrew Gelman, John B. Carlin, Hal S. Stern, and Donald B. Rubin. Bayesian Data Analysis, 2nd edition. CRC Press, 2003. ISBN 158488388X


 * Alan Jeffrey and Daniel Zwillinger, editors. Gradshteyn and Ryzhik's Table of Integrals, Series, and Products, sixth edition. Academic Press, 2000. ISBN 0-12-294757-6. Errata. (Several previous editions as well.)


 * Jerald F. Lawless. Statistical Models and Methods for Lifetime Data, 2nd edition. John Wiley and Sons, Hoboken. 2003.


 * Terry Therneau. "A Package for Survival Analysis in S". http://www.mayo.edu/hsr/people/therneau/survival.ps, at: http://www.mayo.edu/hsr/people/therneau.html


 * Arthur Dempster, Nan Laird, and Donald Rubin. "Maximum likelihood from incomplete data via the EM algorithm". Journal of the Royal Statistical Society, Series B, 39(1):1–38, 1977.


 * Radford Neal, Geoffrey Hinton. "A view of the EM algorithm that justifies incremental, sparse, and other variants". In Michael I. Jordan (editor), Learning in Graphical Models pp 355-368. Cambridge, MA: MIT Press, 1999.


 * George Arfken and Hans Weber. Mathematical Methods for Physicists. Harcourt/Academic Press, 2000.


 * Harald Niederreiter. Random Number Generation and Quasi-Monte Carlo Methods. Society for Industrial and Applied Mathematics, 1992. ISBN 0-89871-295-5


 * A. Khintchine. "Über einen Satz die Wahrscheinlichkeitsrechnung", Fundamenta Mathematica, 6:9-20, 1924. (The author's name is shown here in an alternate transliteration.)


 * A. Kolmogoroff. "Über das Gesetz des iterierten Logarithmus". Mathematische Annalen, 101:126-135, 1929. (At the Göttinger DigitalisierungsZentrum web site: )


 * Vladimir Igorevich Arnold and André Avez. Ergodic Problems of Classical Mechanics. New York: W.A. Benjamin. 1968.


 * Leo Breiman. Probability. Original edition published by Addison-Wesley, 1968; reprinted by Society for Industrial and Applied Mathematics, 1992. ISBN 0-89871-296-3.


 * Trevor Hastie, Robert Tibshirani, and Jerome Friedman. The Elements of Statistical Learning. New York: Springer, 2001. ISBN 0-387-95284-5.


 * D.W. Scott. Multivariate Density Estimation. Theory, Practice and Visualization. New York: Wiley, 1992.


 * B.W. Silverman. Density Estimation. London: Chapman and Hall, 1986.


 * W.K. Hastings. "Monte Carlo Sampling Methods Using Markov Chains and Their Applications", Biometrika, 57:97-109, 1970.


 * N. Metropolis, A.W. Rosenbluth, M.N. Rosenbluth, A.H. Teller, and E. Teller. "Equations of State Calculations by Fast Computing Machines". Journal of Chemical Physics, 21:1087-1091, 1953.


 * A.A. Markov. "Rasprostranenie zakona bol'shih chisel na velichiny, zavisyaschie drug ot druga". Izvestiya Fiziko-matematicheskogo obschestva pri Kazanskom universitete, 2-ya seriya, tom 15, pp 135-156, 1906. (Markov's original paper on Markov chains. A citation of a translation would be very helpful here.)


 * J.L. Doob. Stochastic Processes. New York: John Wiley and Sons, 1953. ISBN 0-471-52369-0.


 * Daniel Zwillinger. CRC Standard Mathematical Tables and Formulae, 31st edition. Chapman & Hall/CRC Press, 2002. ISBN 1584882913. (Many earlier editions as well.)


 * G.A.F Seber and C.J. Wild. Nonlinear Regression. New York: John Wiley and Sons, 1989.