New study finds key to accurate regression analysis in nonlinear models.
The article discusses how the assumption of equal variability in regression analysis may not always be correct. It focuses on testing for differences in variability in nonlinear regression models with random coefficients. The researchers developed score tests to check if the assumption of equal variability holds true in these models.
