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 ...

An international research team, including UC Davis physicists, has expanded the Fermi-Hubbard model, allowing for a more detailed exploration of materials and their properties. The researchers ...

One of the most important uses of PROC MODEL is to estimate unknown parameters in a nonlinear model. A simple nonlinear model has the form: where x is a vector of exogenous variables. To estimate ...

A new mathematical model estimates the water content in saturated natural gas, both sweet and sour, up to 10,000 psia and 460° F. For designing processing units and piping systems, one needs to ...