Title | ||
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Determination of the best distribution and effective interval using statistical characterization of uncertain variables. |
Abstract | ||
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•The algorithm to determine appropriate probability distribution of data is proposed.•The sequential statistical modeling is improved to consider both parametric and non-parametric distribution.•The method to determine minimum data is improved to verify sufficiency of data without actual experiments.•The effectiveness and validation of the proposed algorithm is verified using the bolt-fastening data. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.jcde.2017.11.007 | Journal of Computational Design and Engineering |
Keywords | Field | DocType |
Sequence statistical modeling (SSM),Statistical area metric (SAM),Monte-Carlo simulation (MCS),Confidence interval (CI),Inverse cumulative distribution function (ICDF),Maximum likelihood estimation (MLE),Kolmogorov-Smirnov test (K-S test) | Statistical parameter,Normal distribution,Mathematical optimization,Experimental data,Parametric statistics,Sampling (statistics),Statistical model,Engineering,Confidence interval,Goodness of fit | Journal |
Volume | Issue | ISSN |
5 | 3 | 2288-4300 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Minho Joo | 1 | 0 | 0.34 |
Jaehyeok Doh | 2 | 1 | 0.72 |
Jong Soo Lee | 3 | 7 | 4.36 |