Linear regression (also called simple regression) is one of the most common techniques of regression analysis. Multiple ... between the variables becomes more complex, nonlinear models have ...

Prior to regression, the structural identifiability ... In indirect inference, model parameters are estimated by minimizing the differences between intermediate statistics that characterize ...

Bentler, EQS provides researchers and statisticians with a simple method for conducting the full range of structural equations models including multiple regression, multivariate regression, ...

Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...

She has worked in multiple ... regression both track a particular response from a set of variables. As the relationship between the variables becomes more complex, nonlinear models have greater ...