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. (http://www.mathtable.com/gr) (Several previous editions as well.)
  • Jerald F. Lawless. Statistical Models and Methods for Lifetime Data, 2nd edition. John Wiley and Sons, Hoboken. 2003.
  • 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 (http://gdz.sub.uni-goettingen.de/en/index.html): [1] (http://134.76.163.65/agora_docs/38392TABLE_OF_CONTENTS.html))
  • 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.
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