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Flow behavior index (n) was estimated to determine pseudoplasticity.
These functions, which are estimated to determine efficiency, are also known as stochastic frontier approach (SFA).
Logit models are estimated to determine types of farms most likely to use each TMPPS.
The absorbance of the supernatant solution was estimated to determine the residue of dye concentration (Ct).
After the exploratory factor analysis, multiple regression was then estimated to determine the relationship between the dependent and independent variables.
The residual Cr content of the matrix was estimated, to determine its influence on the thermal properties of the matrix.
With CFA, the collection of hypothesized paths is estimated to determine if the items' covariations are adequately accounted for by their corresponding latent constructs.
Four count data models were consecutively estimated to determine a regression that best fits the data in explaining the consumption intensity of leafy AIVs.
The correlation coefficients were estimated to determine and to evaluate the strength of the dependency between each of these two variables.
The horizontal stresses in four azimuths at 45° intervals were estimated to determine the horizontal principal stresses, which were measured by the HFT.
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We compared those estimates with 2007 population estimates to determine the percent change year-over-year.
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