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机译:拉丁超立方体和基于正交数组的采样对参数空间覆盖率的估计
School of Mathematics and Physics, The University of Queensland;
Department of Computer Science, University of Oxford,ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology (QUT);
ARC Centre of Excellence for Mathematical and Statistical Frontiers, Queensland University of Technology (QUT);
Department of Mathematics and Statistics, Plymouth University;
School of Mathematics and Physics, The University of Queensland;
Department of Mathematics, Koç University;
Latin Hypercube sampling; Orthogonal Array-based Latin Hypercube sampling; Sample space coverage; Simulations;
机译:基于切片正交数组的拉丁超立方体设计
机译:确定性计算机实验的基于正交数组的拉丁超立方体设计的构造
机译:可解决的基于正交数组的均匀切片拉丁超立方体设计
机译:拉丁超立机和正交抽样参数空间的模型,实验设计和覆盖的群体
机译:由有限代数系统生成的拉丁方和r类超立方体的正交集。
机译:后计划目标和OAR覆盖率估计值对剂量边际分布采样参数的敏感性
机译:拉丁超立方体和基于正交阵列的采样参数空间覆盖的估计
机译:使用几乎正交的拉丁超立方体优化用于空间环境(am0)的先进多结太阳能电池设计。