Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Hammersley, J. M.
1960.
MONTE CARLO METHODS FOR SOLVING MULTIVARIABLE PROBLEMS.
Annals of the New York Academy of Sciences,
Vol. 86,
Issue. 3,
p.
844.
Hammersley, J. M.
1961.
A short proof of the Farahat-Mirsky refinement of Birkhoff's theorem on doubly-stochastic matrices.
Mathematical Proceedings of the Cambridge Philosophical Society,
Vol. 57,
Issue. 3,
p.
681.
Halton, J. H.
1962.
Sequential Monte Carlo.
Mathematical Proceedings of the Cambridge Philosophical Society,
Vol. 58,
Issue. 1,
p.
57.
Hammersley, J. M.
and
Handscomb, D. C.
1964.
Monte Carlo Methods.
p.
50.
Lehmann, Fritz
1967.
Allgemeiner Bericht über Monte-Carlo-Methoden.
Blätter der DGVFM,
Vol. 8,
Issue. 3,
p.
431.
Halton, John H.
1970.
A Retrospective and Prospective Survey of the Monte Carlo Method.
SIAM Review,
Vol. 12,
Issue. 1,
p.
1.
Roach, William
and
Wright, Roger
1977.
Optimal antithetic sampling plans.
Journal of Statistical Computation and Simulation,
Vol. 5,
Issue. 2,
p.
99.
Wilson, James R.
1979.
Proof of the antithetic-variates theorem for unbounded functions.
Mathematical Proceedings of the Cambridge Philosophical Society,
Vol. 86,
Issue. 3,
p.
477.
Gaffke, N.
and
Rüscherndorf, L.
1981.
On a class of extremal problems in statistics.
Mathematische Operationsforschung und Statistik. Series Optimization,
Vol. 12,
Issue. 1,
p.
123.
Fishman, George S.
and
Huang, Baosheng D.
1983.
Antithetic variates revisited.
Communications of the ACM,
Vol. 26,
Issue. 11,
p.
964.
Wilson, James R.
1983.
Antithetic Sampling with Multivariate Inputs.
American Journal of Mathematical and Management Sciences,
Vol. 3,
Issue. 2,
p.
121.
Weiss, Gideon
1984.
Stochastic bounds on distributions of optimal value functions with applications to pert, network flows and reliability.
Annals of Operations Research,
Vol. 1,
Issue. 1,
p.
59.
Nelson, Barry L.
and
Schmeiser, Bruce W.
1986.
Decomposition of some weil-known variance reduction techniques†.
Journal of Statistical Computation and Simulation,
Vol. 23,
Issue. 3,
p.
183.
Nelson, Barry L.
1987.
A perspective on variance reduction in dynamic simulation experiments.
Communications in Statistics - Simulation and Computation,
Vol. 16,
Issue. 2,
p.
385.
Rubinstein, Y. R.
and
Samorodnitsky, G.
1987.
A Modified Version of Handscomb’s Antithetic Variates Theorem.
SIAM Journal on Scientific and Statistical Computing,
Vol. 8,
Issue. 1,
p.
82.
Sarkar, P K
and
Prasad, M A
1991.
An improved monte carlo technique for radiation shield design.
Sadhana,
Vol. 16,
Issue. 1,
p.
75.
Halton, John H.
1994.
Sequential monte carlo techniques for the solution of linear systems.
Journal of Scientific Computing,
Vol. 9,
Issue. 2,
p.
213.
Fishman, George S.
1996.
Monte Carlo.
p.
255.
Halton, John H.
and
Sarkar, Pradip K.
1998.
Increasing the efficiency of radiation shielding calculations by using antithetic variates.
Mathematics and Computers in Simulation,
Vol. 47,
Issue. 2-5,
p.
309.
Akroyd, Jethro
Smith, Alastair J.
McGlashan, Laurence R.
and
Kraft, Markus
2010.
Comparison of the stochastic fields method and DQMoM-IEM as turbulent reaction closures.
Chemical Engineering Science,
Vol. 65,
Issue. 20,
p.
5429.