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http://dx.doi.org/10.3795/KSME-A.2012.36.12.1605

Akaike Information Criterion-Based Reliability Analysis for Discrete Bimodal Information  

Lim, Woochul (Dept. of Automotive Engineering, College of Engineering, Hanyang Univ.)
Lee, Tae Hee (Dept. of Automotive Engineering, College of Engineering, Hanyang Univ.)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.36, no.12, 2012 , pp. 1605-1612 More about this Journal
Abstract
The distribution of a response usually depends on the distribution of the variables. When a variable shows a distribution with two different modes, the response also shows a distribution with two different modes. In this case, recently developed methods for reliability analysis assume that the distribution functions are continuous with a mode. In actual problems, however, because information is often provided in a discrete form with two or more modes, it is important to estimate the distributions for such information. In this study, we employ the finite mixture model to estimate the response distribution with two different modes, and we select the best candidate distribution through AIC. Mathematical examples are illustrated to verify the proposed method.
Keywords
Akaike Information Criterion(AIC); Finite Mixture Model; Bimodal Distribution; Maximum Likelihood Estimation(MLE); Reliability Analysis;
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Times Cited By KSCI : 2  (Citation Analysis)
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