Reliability Engineering and System Safety, Elsevier, vol. " Quasi-Monte Carlo based uncertainty analysis: Sampling efficiency and error estimation in engineering applications," Hou, Tianfeng & Nuyens, Dirk & Roels, Staf & Janssen, Hans, 2019." Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence," " A Review of Proxy Modeling Highlighting Applications for Reservoir Engineering,"Įnergies, MDPI, vol. Peyman Bahrami & Farzan Sahari Moghaddam & Lesley A." Probabilistic Power Flow for Hybrid AC/DC Grids with Ninth-Order Polynomial Normal Transformation and Inherited Latin Hypercube Sampling,"Įnergies, MDPI, vol. Sui Peng & Huixiang Chen & Yong Lin & Tong Shu & Xingyu Lin & Junjie Tang & Wenyuan Li & Weijie Wu, 2019." Efficient computation of global sensitivity indices using sparse polynomial chaos expansions," Blatman, Géraud & Sudret, Bruno, 2010." Uniform projection nested Latin hypercube designs," Journal of the American Statistical Association, Taylor & Francis Journals, vol. " Hierarchical Latin Hypercube Sampling," " One-dimensional nested maximin designs,"Ĭf47da9c-59f8-4533-a845-8, Tilburg University, School of Economics and Management. " One-Dimensional Nested Maximin Designs,"Ģ004-66, Tilburg University, Center for Economic Research. " Nested Maximin Latin Hypercube Designs,"ġc504ec0-f357-42d2-9c92-9, Tilburg University, School of Economics and Management.įull references (including those not matched with items on IDEAS) " Extension of Latin hypercube samples with correlated variables," " Refinement strategies for stratified sampling methods," " Nested orthogonal array-based Latin hypercube designs,"īiometrika, Biometrika Trust, vol. " Nested maximin Latin hypercube designs,"ħf0703e8-06bc-45b4-886c-3, Tilburg University, School of Economics and Management. Maaten L V D.Accelerating t-SNE using Tree-Based Algorithms.Journal of Machine Learning Research(S1532-4435),2014,15(1):3221-3245. Maaten L V D,Hinton G.Visualizing Data Using t-SNE.Journal of Machine Learning Research(S1532-4435),2008,9(1):2579-2605. Morris M D,Mitchell T J.Exploratory Designs for Computational Experiments.Journal of Statiscal Planning and Inference(S0378-3758),1995,43(3):381-402. Zhai Gang,Ma Yaofei,Song Xiao,et al.A Novel Experiment Design Method.2015,Asia Simulation Conference.Singapore Springer,2015:28-39. Felipe A C Viana,Gerhard Venter,Vladimir Balabanov.An Algorithm for Fast Optimal Latin Hypercube Design of Experiments.International Journal for Numerical Methods in Engineering(S1097-0207),2009,82(2):135-156. Grosso A,Jamali A,Locatelli M.Finding Maximin Latin Hypercube Designs by Iterated Local Search Heuristics.European Journal of Operational Research(S0377-2217),2009,197(2):541-547. liefvendahl M,Stocki R.A Study on Algorithms for Optimization of Latin Hypercubes.Journal of Statiscal Planning and Inference(S0378-3758),2006,136(9):3231-3247. Bates S J,Sienz J,Toropov V V.Formulation of the Optimal Latin Hypercube Design of Experiments Using a Permutation Genetic Algorithm.Forty-Fifth AIAA/ ASME/ASCE/AHS/ASC Structures,Structural Dynamics and Materials Conference.Palm Springs,CA,2004:19-22. Jin R,Chen W,Sudjianto A.An Eifficient Algorithm for Constructing Optimal Design of Computer Experiments.Journal of Statiscal Planning and Inference(S0378-3758),2005,134(1):268-287. Xing D D,Zhu M Y.Simulation Screening Experiments Using Lasso-optimal Supersaturated Design and Analysis:a Maritime Operations Application.The 2013 Winter Simulation Conference.Washington D.C,IEEE Press,2013:497-508. Iman R L,Conover W J.Small Sample Sensitivity Analysis Techniques for Computer Models,with an Application to Risk Assessment.Communications in Statistics Part A:Theory and Methods(S0361-0926),1980,9(17):1749-1842. McKay M D,Beckman R J,Conover W J.A Comparison of Three Methods for Selecting Values of Input Variables from a Computer code.Technometrics(S1537-2723),1979,42(1):239-245. Bie Xiaofeng,Dong Yan,Wang Jianfei.Discussion on the Basic Problems of Combat Simulation Experiment Design.Military Operation Research and System Engineering,2008,22(4):51-56.
0 kommentar(er)
