could be used to test a wide range of APMs, including ACOs, bundled payment, and medical home interventions.
Orthogonal array helped to design a number of experiments for the demonstration of the efficiency of each factor adopted in full factorial experiments
for Taugchi method selected for UAE.
Summary of ANOVA for 2X 10 Factorial Experiments
with repeated measures on the Second Factor (10 Times)
Schaarschmidt, "Analysis of Statistical Interactions in Factorial Experiments
," Journal of Agronomy and Crop Science, vol.
The LC operational conditions were the same for all levels in the factorial experiments
: 2-uL injection volume, 0.2 mL/min mobile phase flowrate, and 50-50 split aqueous-organic mobile phase composition.
The paper demonstrates use of tools such as the IPO (Input-Process-Output) diagram, Cause and Effect Diagram, Fractional Factorial Experiments
and Full Factorial Experiments
In the first stage, the ANOVA was carried out by using the statistical tool Minitab 15 with the Taguchi method as the DOE, in order to screen out the IMPP having a great influence on the two objectives, and then significant IMPP were obtained for full factorial experiments
. In the second stage, the M-SVR and BPNN models were built and then trained and tested according to the data from full factorial experiments
, to obtain the mapping relationships between key IMPP and objectives.
These experimental simulations belong to a group of designs known as [2.sup.k] factorial experiments
(designs), where k is the number of parameters being studied (Quinao & Zarrouk, 2014).
Screening of sowing times and plant to plant distance: A conventional bitter gourd cultivar green long was sown at the campus research area of University of Agriculture Faisalabad during 2005 following two factor factorial experiments
under a randomized complete block design with three repeats.
The advantages of factorial experiments
include relatively low cost, a reduced number of experiments, and increased possibilities to evaluate interactions among the variables (Al-Degs, 2012; Tekbas, et al., 2009).
(2008) evaluated the use of MCT in unifactorial and factorial experiments
, in scientific articles.
Among their topics are editing data sets, graphs and charts, mixed factorial experiments
, the analysis of covariance (ANCOVA), and analyzing multiway frequency tables.