Results 11 to 20 of about 951,451 (326)
Quantitative Analysis of the Balance Property in Factorial Experimental Designs 24 to 28 [PDF]
Experimental designs are built by using orthogonal balanced matrices. Balance is a desirable property that allows for the correct estimation of factorial effects and prevents the identity column from aliasing with factorial effects.
Ricardo Ramírez-Tapia +4 more
doaj +2 more sources
Understanding Factorial Designs, Main Effects, and Interaction Effects: Simply Explained with a Worked Example [PDF]
A factorial design examines the effects of two independent variables on a single, continuous dependent variable. The statistical test employed to analyze the data is a two-way analysis of variance (ANOVA).
Chittaranjan Andrade
doaj +2 more sources
Two-Level Regular Designs for Baseline Parameterization [PDF]
This paper considers two-level regular fractional factorial designs for baseline parameterization. Some new results that reveal relationships between the K-values and word length pattern are developed.
Shengli Zhao, Mengru Qin
doaj +2 more sources
Implementing Clinical Research Using Factorial Designs: A Primer. [PDF]
Baker TB +7 more
europepmc +2 more sources
Using blocked fractional factorial designs to construct discrete choice experiments for healthcare studies. [PDF]
Jaynes J, Wong WK, Xu H.
europepmc +2 more sources
RMST‐based multiple contrast tests in general factorial designs [PDF]
Several methods in survival analysis are based on the proportional hazards assumption. However, this assumption is very restrictive and often not justifiable in practice. Therefore, effect estimands that do not rely on the proportional hazards assumption
Merle Munko +3 more
semanticscholar +1 more source
On Randomization-based and Regression-based Inferences for 2^K Factorial Designs [PDF]
Jiannan Lu
openalex +3 more sources
Construction of Optimal Split-Plot Designs for Various Design Scenarios
When performing fractional factorial experiments in a completely random order is impractical, fractional factorial split-plot designs are suitable options as an alternative. It is well recognized that the more there are lower order effects of interest at
Beichen Han, Yuna Zhao
doaj +1 more source
Advanced row-column designs for animal feed experiments
Inappropriate statistical designs may misinterpret results of animal feed experiments. Thus complete statistical designs can make animal feed research more appropriate and cost effective.
PRAKASH KUMAR +5 more
doaj +1 more source

