Sungmin Yoon
Energies · 2021
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Sungmin Yoon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Sungmin Yoon's perspective
Ordered by how strongly the researchers Sungmin Yoon trusts endorse each paper. Same corpus, a different order for every researcher.
- Surrogates: Gaussian Process Modeling, Design, and Optimization for the Applied Sciences (Technometrics)
- R: A language and environment for statistical computing.
- Bayesian Treed Gaussian Process Models With an Application to Computer Modeling
- The Design and Analysis of Computer Experiments (Springer Series in Statistics)
- On linear regression and ratio–product estimation of a finite population mean