2 papers
stat.ME2026
Confounding analysis of s-level designs with multi-block variables
Wenbo Hu, Zhiming Li
In practical experiments, block variables often arise from multiple sources of heterogeneity. To address the confounding problem, this paper proposes a blocked aliased component-nu…
stat.ME2026
Analysis of uncertain fixed-effects model for Latin square designs
Yaru Cheng, Zhiming Li
Uncertain data without frequency stability often arises in experimental design. Classical fixed-effects models can only analyze precise experimental data. Based on an uncertain mea…