-
K. Binder and D. W. Heermann,
Monte
Carlo Simulation in Statistical Physics : An Introduction (Springer Series
in Solid-State Sciences, 80), Springer-Verlag, 1998
-
L. Bauwens,
Bayesian Full Information Analysis of Simultaneous Equation Models
Using Integration by Monte Carlo
(Lecture Notes in Economics and Mathematical Systems, 232),
Springer-Verlag, 1984
-
P. Bremaud,
Markov Chains : Gibbs
Fields, Monte Carlo Simulation, and Queues (Texts in Applied Mathematics, 31),
Springer-Verlag, 1999
-
M. H. Chen and Q. M. Shao,
Monte Carlo Methods
in Bayesian Computation (Springer Series in Statistics),
Springer-Verlag, 2000
-
A. Doucet, N.de Freitas and N. Gordon,
Sequential Monte Carlo Methods in Practice (Statistics for Engineering and Information Science),
Springer-Verlag, 2001
-
A. Dubi,
Monte Carlo Applications in
Systems Engineering, Wiley, 2000
-
M. J. Evans and T. Swartz,
Approximating
Integrals Via Monte Carlo and Deterministic Methods (Oxford Statistical
Science Series, 20), Oxford University Press, 2000
-
K. T. Fang and Y. Wang,
Number-Theoretic Methods in Statistics,
Chapman and Hall, 1993.
-
K. T. Fang, F. J. Hickernell and H. Niederreiter,
Monte Carlo and Quasi-Monte Carlo Methods 2000 :
Proceedings of a Conference held at Hong Kong Baptist University, Hong Kong SAR, China,
Nov. 27-Dec.1, 2000, Springer-Verlag, 2002
-
G. S. Fishman,
Monte Carlo : Concepts,
Algorithms, and Applications (Springer Series in Operations Research),
Springer-Verlag, 1996
-
B. L. Fox,
Strategies for Quasi-Monte
Carlo (International Series in Operations Research & Management Science, 22),
Kluwer Academic Publishers, 1999
-
D. Gamerman,
Markov Chain Monte Carlo
: Stochastic Simulation for Bayesian Inference,
Chapman & Hall, 1997
-
J. E. Gentle,
Random Number Generation
and Monte Carlo Methods (Statistics and Computing), Springer-Verlag, 1998
-
W. R. Gilks, S. Richardson and D.J. Spiegelhalter,
Markov Chain Monte
Carlo in Practice, Chapman & Hall, 1995
-
P. Grassberger, W. Nadler and G. T. Barkema,
Monte Carlo Approach to Biopolymers and Protein Folding, World Scientific, 1998
-
J. M. Hammersley and D.C. Handscomb,
Monte Carlo Methods,
Methuen, London, 1964.
-
P. Hellekalek and G. Larcher,
Random and Quasi-Random Point Sets (Lecture Notes in Statistics, 138),
Springer-Verlag, 1998
-
L. K. Hua and Y. Wang,
Applications of Number Theory to Numerical Analysis,
Springer-Verlag, 1981.
-
C. Jacoboni and P. Lugli,
The Monte Carlo Method for Semiconductor Device Simulation
(Computational Microelectronics),
Springer-Verlag, 1989
-
M. H. Kalos and P. A. Whitlock,
Monte Carlo Methods, Volume 1, Basics, Wiley, 1986
-
J. P. C. Kleijnen, Statistical techniques
in simulation, Parts I and II, Dekker, 1974
-
A. Kling, F. J. C. Barao, M. Nakagawa, L. Tavora, and P. Vaz,
Advanced Monte Carlo Computer Programs
for Radiation Transport:
Proceedings of the Monte Carlo 2000 Conference, Lisbon, 23-26 October 2000,
Springer-Verlag, 2001
-
D. E. Knuth,
The Art of Computer Programming
(Vol. 2), Addison-Wesley, 1997.
-
D. P. Landau and K. Binder,
A Guide to Monte Carlo
Simulations in Statistical Physics, Cambridge University Press, 2000
-
W. A. Lester, Jr.,
Recent
Advances in Quantum Monte Carlo Methods (Recent Advances in Computational
Chemistry, 2), World Scientific, 1997
-
J. S. Liu,
Monte Carlo Strategies in Scientific Computing (Springer Series in Statistics),
Springer-Verlag, 2001
-
B. F. J. Manly,
Randomization,
Bootstrap and Monte Carlo Methods in Biology,
Chapman & Hall, 1997
-
I. Manno,
Introduction to the Monte-Carlo
Method, Budapest : Akademiai Kiado, 1999
-
G. A. Mikhailov and K. K. Sabelfeld,
Optimization of Weighted Monte Carlo
Methods (Sprigner Series in Computational Physics), Springer-Verlag, 1992
-
C. Moglestue,
Monte Carlo Simulation of Semiconductor Devices,
Kluwer Academic Pulishers, 1993
-
M. E. J. Newman and G. T. Barkema,
Monte
Carlo Methods in Statistical Physics, Oxford University Press, 1999
-
H. Niederreiter,
Random Number Generation and Quasi-Monte Carlo Methods
(CBMS-NSF Regional Conference Series in Applied Mathematics 63),
SIAM, 1992
-
H. Niederreiter, P. Hellekalek, G. Larcher and P. Zinterhof,
Monte Carlo and Quasi-Monte Carlo Methods 1996
(Lecture Notes in Statistics, 127), Springer-Verlag, 1998.
-
H. Niederreiter and J. Spanier,
Monte-Carlo and Quasi-Monte Carlo Methods 1998 : Proceedings
of a Conference at the Claremont Graduate University, Claremont, California,
USA, June 22-26, 1998, Springer-Verlag, 2000
-
H. Niederreiter and P. J. S. Shiue,
Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing
(Lecture Notes in Statistics, 106), Springer-Verlag, 1995
-
C. P. Robert and G. Casella
Monte Carlo Statistical Methods (Springer Texts in Statistics),
Springer-Verlag, 1999
-
R. Y. Rubinstein,
Simulation and
the Monte Carlo Method, Wiley, 1981
-
R. Y. Rubinstein,
Monte Carlo Optimization,
Simulation and Sensitivity of Queuing Networks,
Krieger Publishing, 1992
-
K. K. Sabelfeld,
Monte Carlo Methods : in Boundary Value Problems
(Springer Series in Computational Physics),
Springer-Verlag, 1991
-
I. H. Sloan and S. Joe,
Lattice Methods for Multiple Integration,
Oxford University Press, 1994.
-
I. M. Sobol,
A Primer for the
Monte Carlo Method, CRC Press, 1994
-
S. Tezuka,
Uniform Random Numbers : Theory and Practice
(The Kluwer International Series in Engineering and Computer Science, 315),
Kluwer Academic Publishers, 1995.
-
D. Vose,
Risk Analysis: A Quantitative Guide,
Wiley, 2000
-
G. Winkler,
Image Analysis, Random
Fields and Dynamic Monte Carlo Methods : A Mathematical Introduction (Applications
of Mathematics, 27), Springer-Verlag, 1995
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