Presentation 2004/6/11
Approximation Method for Probability Distribution Functions using Coxian Distribution to Evaluate Systems Improvement for Approximating Non-monotonous Distributions
Yukie SASAKI, Hiroei IMAI, Masahiro TSUNOYAMA, Ikuo ISHII,
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Abstract(in English) This paper shows the extension of the approximation method proposed in [1] using the Coxian distribution. The formerly proposed method can approximate distribution functions with the monotonic decreasing property. The met,hod proposed in this pa,per uses the combination of hyper-exponential distribution and Erlang distributions, and enables to approximate non-monotonous distributions such as convex-type. We also present examples of the approximation for showing the usefulness of the method.
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Keyword(in English) System Evaluation / Coxian Distribution / Erlang distribution / Hyper-exponential distribution
Paper # DC2004-12
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Conference Date 2004/6/11(1days)
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Registration To Dependable Computing (DC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Approximation Method for Probability Distribution Functions using Coxian Distribution to Evaluate Systems Improvement for Approximating Non-monotonous Distributions
Sub Title (in English)
Keyword(1) System Evaluation
Keyword(2) Coxian Distribution
Keyword(3) Erlang distribution
Keyword(4) Hyper-exponential distribution
1st Author's Name Yukie SASAKI
1st Author's Affiliation Graduate School of Science and Technology, Niigata University()
2nd Author's Name Hiroei IMAI
2nd Author's Affiliation Graduate School of Science and Technology, Niigata University
3rd Author's Name Masahiro TSUNOYAMA
3rd Author's Affiliation Niigata Institute of Technology
4th Author's Name Ikuo ISHII
4th Author's Affiliation Graduate School of Science and Technology, Niigata University
Date 2004/6/11
Paper # DC2004-12
Volume (vol) vol.104
Number (no) 130
Page pp.pp.-
#Pages 6
Date of Issue