Using random coefficient models, we also estimate the differences between firms in the magnitudes of these relationships.
In light of these models, we also present an elaborate taxonomy of cognitive techniques in DSS.
In addition to validating existing models, we also developed new logistic regression models and simplified mortality guidelines, or thresholds.
In an effort to further explore the properties of these new models, we also present some related analytical results.
By discussing the inside meaning of the obtained regression models, we also discussed some implications for landscape planning.
Similar to standard GARCH models, we also need nonnegative restrictions here for α, γ, and β.
In some models, we also control for individuals' demographic and human capital characteristics.
In the models, we also incorporated the seasonal cycle of breeding and non-breeding.
For the sigmoidal and exponential models, we also considered commonly used transformations (i.e., square, square root, inverse, etc).
Using these models we also predict percepts for several binocular rivalry experiments that have yet to be performed.
In our multifactorial models, we also observed that the association between sex and head injury corollaries varied by injury mechanism.
