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Volumn , Issue , 2005, Pages 712-721

A novel approach for fitting probability distributions to real trace data with the em algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; BENCHMARKING; MATHEMATICAL MODELS; OPTIMIZATION; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS;

EID: 27544489505     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (39)

References (20)
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  • 3
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    • A benchmark for estimation algorithms: Results for acyclic-PH
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    • Bobbio, A.1    Telek, M.2
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    • A. Cumani, On the Canonical Representation of Homogeneous Markov Processes Modeling Failure - Time Distributions, Journal on Microelectronics and Reliability 22, 583-602, 1982.
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    • Cumani, A.1
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    • Hyper-erlang distribution model and its application in wireless mobile networks
    • Y. Fang, Hyper-Erlang Distribution Model and its Application in Wireless Mobile Networks, Wireless Networks 7, 211-219, 2001.
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    • Fang, Y.1
  • 9
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    • Feldmann, A.1    Whitt, W.2
  • 10
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    • G-FIT, http://1s4-www.cs.uni-dortmund.de/home/thummler/pubs.html.
  • 11
    • 84957077505 scopus 로고    scopus 로고
    • Markovian modeling of real data traffic: Heuristic phase type and MAP fitting of heavy tailed and fractal like samples
    • A. Horváth and M. Telek, Markovian Modeling of Real Data Traffic: Heuristic Phase Type and MAP Fitting of Heavy Tailed and Fractal Like Samples, Performance 2002, LNCS 2459, 405-434, 2002.
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  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.