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Volumn 10, Issue 1, 1998, Pages 72-81

Numerical methods for fitting and simulating autoregressive-to-anything processes

Author keywords

Input modeling; Time series

Indexed keywords


EID: 0012334263     PISSN: 10919856     EISSN: None     Source Type: Journal    
DOI: 10.1287/ijoc.10.1.72     Document Type: Article
Times cited : (74)

References (15)
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  • 2
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  • 9
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    • The TES Methodology: Modeling Empirical Stationary Time Series
    • J.J. Swain, D. Goldsman, R.C. Crain, and J.R. Wilson (eds.), Institute of Electrical and Electronics Engineers, Piscataway, NJ
    • B. MELAMED, J.R. HILL, and D. GOLDSMAN, 1992. The TES Methodology: Modeling Empirical Stationary Time Series, Proceedings of the 1992 Winter Simulation Conference, J.J. Swain, D. Goldsman, R.C. Crain, and J.R. Wilson (eds.), Institute of Electrical and Electronics Engineers, Piscataway, NJ, 135-144.
    • (1992) Proceedings of the 1992 Winter Simulation Conference , pp. 135-144
    • Melamed, B.1    Hill, J.R.2    Goldsman, D.3
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    • Multivariate Normal Probabilities with Error Bound
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  • 12
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    • Generation of Pseudo-Random Time Series with Specified Marginal Distributions
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  • 13
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    • Modeling File-System Input Traces via a Two-Level Arrival Process
    • J. Charnes, D. Morrice, D. Brunner, and J.J. Swain (eds.), Institute of Electrical and Electronics Engineers, Piscataway, NJ
    • P.P. WARE, T.W. PAGE, JR., and B.L. NELSON, 1996. Modeling File-System Input Traces via a Two-Level Arrival Process, Proceedings of the 1996 Winter Simulation Conference, J. Charnes, D. Morrice, D. Brunner, and J.J. Swain (eds.), Institute of Electrical and Electronics Engineers, Piscataway, NJ, 1230-1237.
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    • Whitt, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.