Design of Experiment and Principal Component Analysis methods were applied to find the most significant factors and reduction dimension of initial variables.
Furthermore, choosing non-deterministic initial values for a few variables and then deriving the other initial variables leads to significantly less possible initial states than choosing the initial value of every variable non-deterministically, while still exploring the most plausible initial states.
In addition, no selection of initial variables was needed.
First, the initial variables were checked for collinearity (step 1).
The vegetables are the most variable of variables, both in terms of kind and quantity.
Figure 1 displays the pathways from initial variable to outcome.
From the vantage point of disease control, the most important variables, including initial drug regimen, initial drug susceptibility test results, and patient outcome, were found to be valid.
Temperature and pH are the most influential variables, whereas initial metal concentration and time affect the process to lesser extent.
Plackett Burman and response surface methodology (RS M based on Box Behnken experimental design were applied to evaluate the interactive effect of most significant variables: pH, initial As V) ion concentration and mixing speed (rpm).
The most sensitive variables of the model are the initial cross-channel position of the fish and its initial energy reserves.
