In order to obtain the PSADT value, we can substitute the regression equation of PSAV into the half-logarithmic coordinate of ln(Pi) versus Ti, and a straight line is obtained to calculate doubling PSA at doubling time TD.
A definitive function in terms of a radius of unit nanopore with various shapes is established, substituting a regression function derived from the results of power conversion efficiency in bilayer solar cell.
For example, censored values can be substituted, Tobit regression can be performed or data can be deleted, treated as missing or imputed according to some probability distribution (Ballenberger et al., 2012).
The result showed that both of these two hybrid models have good performance in desirable accuracy and applicability in practical production, endowing them high potential to substitute the conventional regression models in real engineering practice.
The representative empirical procedure gave sound qualitative results for this kind of landscape, but can be efficiently substituted by the regression model tested at the "local" scale.
State effects and state-clustered regressions substitute state fixed effects for circuit fixed effects and state-clustered standard errors for circuit-clustered standard errors.
Given data on protein attributes, one can easily modify our approach by substituting the logistic regression component with some multiple regression model.
To calculate predicted diversity, for each of the 145 countries, the migratory distance from East Africa of its capital city was substituted into the regression of expected heterozygosity on migratory distance.
Acute toxicity to insects was highly correlated with sigma sigma of the substituted phenyl group (regression coefficient r = -0.91) while acute toxicity to mammals was slightly less well correlated (regression coefficient r = -0.71), and neurotoxicity was poorly correlated with sigma sigma (regression coefficient r = -0.35).
Neural networks may be used as a direct substitute for auto correlation, multivariable regression, linear regression, trigonometric, and other statistical analysis and techniques [22].
The degrees of freedom selected for replacement are subsequently substituted by a linear regression model of their correlated parameters.
