-
1
-
-
0038877700
-
The Berry-Esseen bound for student's statistic
-
V. Bentkus and F. Götze. The Berry-Esseen bound for Student's statistic. The Annals of Probability, 24(1):491-503, 1996.
-
(1996)
The Annals of Probability
, vol.24
, Issue.1
, pp. 491-503
-
-
Bentkus, V.1
Götze, F.2
-
2
-
-
16244376298
-
MTTF estimation by Monte Carlo methods using Markov models
-
H. Cancela, G. Rubino, and B. Tuffin. MTTF estimation by Monte Carlo methods using Markov models. Monte Carlo Methods and Applications, 8(4):312-341, 2002.
-
(2002)
Monte Carlo Methods and Applications
, vol.8
, Issue.4
, pp. 312-341
-
-
Cancela, H.1
Rubino, G.2
Tuffin, B.3
-
5
-
-
0026707014
-
A unified framework for simulating Markovian models of highly dependable systems
-
January
-
A. Goyal, P. Shahabuddin, P. Heidelberger, V. F. Nicola, and P. W. Glynn. A Unified Framework for Simulating Markovian Models of Highly Dependable Systems. IEEE Transactions on Computers, 41(1):36-51, January 1992.
-
(1992)
IEEE Transactions on Computers
, vol.41
, Issue.1
, pp. 36-51
-
-
Goyal, A.1
Shahabuddin, P.2
Heidelberger, P.3
Nicola, V.F.4
Glynn, P.W.5
-
7
-
-
84976842451
-
Fast simulation of rare events in queueing and reliability models
-
January
-
P. Heidelberger. Fast Simulation of Rare Events in Queueing and Reliability Models. ACM Transactions on Modeling and Computer Simulation, 5(1):43-85, January 1995.
-
(1995)
ACM Transactions on Modeling and Computer Simulation
, vol.5
, Issue.1
, pp. 43-85
-
-
Heidelberger, P.1
-
8
-
-
0035322354
-
Fast simulation of Markov chains with small transition probabilities
-
S. Juneja and P. Shahabuddin. Fast Simulation of Markov Chains with Small Transition Probabilities. Management Science, 47(4):547-562, 2001.
-
(2001)
Management Science
, vol.47
, Issue.4
, pp. 547-562
-
-
Juneja, S.1
Shahabuddin, P.2
-
9
-
-
0021197357
-
Monte Carlo simulation of Markov unreliability models
-
E. E. Lewis and F. Böhm. Monte Carlo Simulation of Markov Unreliability Models. Nuclear Engineering and Design, 77:49-62, 1984.
-
(1984)
Nuclear Engineering and Design
, vol.77
, pp. 49-62
-
-
Lewis, E.E.1
Böhm, F.2
-
10
-
-
0001297492
-
Asymptotics of likelihood ratio derivatives estimators in simulations of highly reliable Markovian systems
-
March
-
M. K. Nakayama. Asymptotics of Likelihood Ratio Derivatives Estimators in Simulations of Highly Reliable Markovian Systems. Management Science, 41(3):524-554, March 1995.
-
(1995)
Management Science
, vol.41
, Issue.3
, pp. 524-554
-
-
Nakayama, M.K.1
-
11
-
-
0000709660
-
General conditions for bounded relative error in simulations of highly reliable Markovian systems
-
M. K. Nakayama. General Conditions for Bounded Relative Error in Simulations of Highly Reliable Markovian Systems. Advances in Applied Probability, 28:687-727, 1996.
-
(1996)
Advances in Applied Probability
, vol.28
, pp. 687-727
-
-
Nakayama, M.K.1
-
12
-
-
3042683131
-
Combining importance sampling and temporal difference control variates to simulate markov chains
-
R. Randhawa and S. Juneja. Combining importance sampling and temporal difference control variates to simulate markov chains. ACM Transactions on Modeling and Computer Simulation, 14(1): 1-30, 2004.
-
(2004)
ACM Transactions on Modeling and Computer Simulation
, vol.14
, Issue.1
, pp. 1-30
-
-
Randhawa, R.1
Juneja, S.2
-
13
-
-
0000895730
-
Importance sampling for the simulation of highly reliable Markovian systems
-
March
-
P. Shahabuddin. Importance Sampling for the Simulation of Highly Reliable Markovian Systems. Management Science, 40(3):333-352, March 1994.
-
(1994)
Management Science
, vol.40
, Issue.3
, pp. 333-352
-
-
Shahabuddin, P.1
-
14
-
-
0033233836
-
Bounded normal approximation in simulations of highly reliable Markovian systems
-
B. Tuffin. Bounded Normal Approximation in Simulations of Highly Reliable Markovian Systems. Journal of Applied Probability, 4(4):974-986, 1999.
-
(1999)
Journal of Applied Probability
, vol.4
, Issue.4
, pp. 974-986
-
-
Tuffin, B.1
|