Fusion of Data Sets in Multivariate Linear Regression with Errors-in-Variables
Fusion of Data Sets in Multivariate Linear Regression with Errors-in-Variables
We consider the application of normal theory methods to the estimation and testing of a general type of multivariate regression models with errors-in-variables, in the case where various data sets are merged into a single analysis and the observable variables deviate possibly from normality. The various samples to be merged …