数据链接：
官方服务：
资源简介：
3×2 factorial comparison set for PPI.
应用场景：
创建时间：
2015-12-02
相关数据集
Minimally changed run sequences in factorial experiments
Randomization of run sequences in factorial experiments may result in large number of changes in factor levels which will make the experimentation expensive, time-consuming and difficult. Experiments
NIAID Data Ecosystem30
Composition of the prepared GR films (F1–F16) showing the varying concentrations of HPMC and Carbopol 934P used in the factorial design.
Composition of the prepared GR films (F1–F16) showing the varying concentrations of HPMC and Carbopol 934P used in the factorial design.
NIAID Data Ecosystem10
Minimally Changed Run Sequences in Factorial Experiments
Randomization of run sequences in factorial experiments may result in large number of changes in factor levels which will make the experimentation expensive, time-consuming and difficult. Experiments
Taylor & Francis Group2017-03-09 更新00
Two-Level Designs to Estimate All Main Effects and Two-Factor Interactions
We study the design of two-level experiments with N runs and n factors large enough to estimate the interaction model, which contains all the main effects and all the two-factor interactions. Yet, an
Figshare2019-04-01 更新20
Joint Identification of Location and Dispersion Effects in Unreplicated Two-Level Factorials
Most procedures that have been proposed to identify dispersion effects in unreplicated factorial designs assume that location effects have been identified correctly. Incorrect identification of locati
Taylor & Francis Group2019-04-01 更新00
