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Volumn 10, Issue 4, 2000, Pages 326-347

Nearly Optimal Importance Sampling for Monte Carlo Simulation of Loss Systems

Author keywords

Importance sampling; Loss system; Monte Carlo methods; Simulation; Variance reduction

Indexed keywords

COMPUTER SIMULATION; CONVOLUTION; MONTE CARLO METHODS; PARAMETER ESTIMATION; SAMPLING;

EID: 0347593872     PISSN: 10493301     EISSN: None     Source Type: Journal    
DOI: 10.1145/369534.369541     Document Type: Article
Times cited : (10)

References (8)
  • 3
    • 0031219825 scopus 로고    scopus 로고
    • Fast simulation of blocking probabilities in loss networks
    • MANDJES, M. 1997. Fast simulation of blocking probabilities in loss networks. Euro. J. Oper. Res. 101, 393-405.
    • (1997) Euro. J. Oper. Res. , vol.101 , pp. 393-405
    • Mandjes, M.1
  • 6
    • 0027283208 scopus 로고
    • On the optimality and stability of exponential twisting in Monte Carlo estimation
    • SADOWSKY, J. S. 1993. On the optimality and stability of exponential twisting in Monte Carlo estimation. IEEE Trans. Inf. Theor. 39, 1 (Jan.), 119-128.
    • (1993) IEEE Trans. Inf. Theor. , vol.39 , Issue.1 JAN. , pp. 119-128
    • Sadowsky, J.S.1
  • 7
    • 0025432132 scopus 로고
    • On large deviation theory and asymptotically efficient Monte Carlo estimation
    • SADOWSKY, J. S. AND BUCKLEW, J. A. 1990. On large deviation theory and asymptotically efficient Monte Carlo estimation. IEEE Trans. Inf. Theor. IT-36, 3 (May), 579-588.
    • (1990) IEEE Trans. Inf. Theor. , vol.IT-36 , Issue.3 MAY , pp. 579-588
    • Sadowsky, J.S.1    Bucklew, J.A.2
  • 8
    • 0031223049 scopus 로고    scopus 로고
    • Asymptotic estimates for blocking probabilities in a large multi-rate loss network
    • SIMONIAN, A., ROBERTS, J. W., THÉBERGE, F., AND MAZUMDAB, R. 1997. Asymptotic estimates for blocking probabilities in a large multi-rate loss network. Adv. Appl. Probab. 29, 806-829.
    • (1997) Adv. Appl. Probab. , vol.29 , pp. 806-829
    • Simonian, A.1    Roberts, J.W.2    Théberge, F.3    Mazumdab, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.