位置：成果数据库 > 期刊 > 期刊详情页
A theory on constructing blocked two-level designs with general minimum lower order confounding
  • 期刊名称：Front. Math. China
  • 时间：2016.2.1
  • 页码：207-235
  • 相关项目：因子分析试验一般最小低阶混杂设计理论及其应用
作者： Yuna ZHAO|Shengli ZHAO|Min-Qian LIU|
同期刊论文项目
因子分析试验一般最小低阶混杂设计理论及其应用
期刊论文 27
同项目期刊论文
Minimum aberration designs for two-level factorials in N=1 (mod 4) runs
Construction of Two-level Blocked Minimum Lower Order Confounding Designs
On general minimum lower order confounding criterion for -level regular designs
Some results on constructing general minimum lower order confounding 2(n-m) designs for n <= 2(n-
Highly Efficient Factorial Designs for cDNA Microarray Experiments: Use of Approximate Theory Togeth
Minimum sufficient confounding information among main effects and two-factor interactions,
A generalized general minimum lower order confounding criterion for nonregular designs
Mixed two- and four-level fractional factorial split-plot designs with clear effcts
Minimum sufficient confounding information among main effects and two-factor interactions
An optimal selection of two-level regular single arrays for robust parameter experiments
Construction of Optimal Blocking Schemes for Robust Parameter Designs
On blocked resolution IV designs containing clear two-factor interactions
Blocked two-level regular design with general minimum lower order confounding&nbsp;
The factor aliased effect number pattern and its application in experimental planning
On optimal two-level nonregular factorial split-plot designs
On construction of blocked general minimum lower-order confounding designs with
正规部分因子设计的最优性理论与构造方法