Title
Determination of the best distribution and effective interval using statistical characterization of uncertain variables.
Abstract
•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 Joo100.34
Jaehyeok Doh210.72
Jong Soo Lee374.36