Higher values of these variables reflect more balanced skills.
The agitation speed and the aeration rates were varied to determine suitable values of these variables.
We compute critical values of these variables and features and explore trade-offs among them.
A Box-Behnken design was implemented to determine the optimized values of these variables.
The higher the values of these variables are, the higher the resilience.
The important percent values of these variables measured 10.48%, 7.5%, 6.8%, 5.9%5.3%%, and 5.2% respectively.
Consequently, the output values of these variables can be calculated in a deterministic model.
For consistency we include the values of these variables taken at the same date as the trust variable.
The effect of intervening to fix the values of these variables is thus that each variable intervened on is disconnected from its causes, including X.
However, once the variables are identified from the sensitivity analysis, the new values of these variables are determined in a random manner.
Ridge analysis was performed to estimate the values of these variables which maximised and minimised the textural parameters of hardness, gumminess, resilience, cohesiveness, and springiness.
