Multifactor models are present in industry and in biological experiments; therefore optimum designs are a valuable tool for experimenters, leading to estimators of the parameters with minimum variance.
After all the multifactor combinations are evaluated by misclassification error, the MDR model with the minimum error rate individual is chosen and the model is considered the best model of training data at i-fold.
As a purely epistatic model is a challenge for the analysis in itself, we adopted a further analysis method, i.e. the multifactor dimensionality reduction (MDR [44], [52].
In this study, a multifactor response surface model was constructed to estimate the AutoDock based binding free energy of fluconazole within multiple conformations of 14α-demethylase (CYP51) (cross docking) as a validated antifungal target.
Multifactor regression models are limited in their ability to capture all of the relevant factors of transactions, however, because sample sizes are usually much smaller than the factor set, and so a small number of factors are usually selected for evaluation.
The Multifactor Model of Positive Mental Health is based on a holistic view of health and considers that there is a close inter-relationship between physical and mental health.
**: The multifactor model: all mentioned variables were entered as independent variables in the model.
Capital Asset Pricing Model (e.g. Finnerty [1976a]; Penman [1982]), Arbitrage Pricing theory and various multifactor models have also been applied to estimate the Expected Return.
Our results for age can be explained by considering the different factors that make up the Multifactor Model of Positive Mental Health on which this study is based.
The study was based on the Multifactor Model of Positive Mental Health (Lluch, 1999), which comprises six factors: Personal Satisfaction (F1), Prosocial Attitude (F2), Self-control (F3), Autonomy (F4), Problem-solving and Self-actualization (F5), and Interpersonal Relationship Skills (F6).
