This chapter presents methods for estimating the aforementioned variables, illustrated with solution of real problems.
The results indicate that ascorbic acid degradation was significantly influenced by both of the aforementioned variables.
There are quantitative relationships among the aforementioned variables, i.e., Ts = M × τ, Tc = Ts/fd.
LINGO software was used to find out the optimum values of the aforementioned variables for enhancing the process.
Thus, in this study, we have taken the aforementioned variables and entrepreneurship capability-based framework into account for empirical analyses.
All together the aforementioned variables will be denoted by C L j k, where i - TW ≤ k ≤ i + TW.
More subjects need to be recruited and better balance among the aforementioned variables obtained for future study.
Results from estimation of (2) using the aforementioned variables as instruments for ∆lnV are shown in Table 5.
The knoop hardness, the gloss (60 and 85°) and the mar resistance were the properties more seriously affected from the aforementioned variables.
Therefore, several methods have been proposed to try to predict the influence of the aforementioned variables on the amount of electricity produced.
The aforementioned variables then have an impact on three output variables: Lactation Days (LD), Daily Milk Production (DMP) and Intervals between Births (IBB).
