Introduces methods, theory, and applications of linear statistical models, covering topics such as estimation, residual diagnostics, goodness of fit, transformations, and various strategies for ...
Model transformation techniques lie at the heart of model-driven engineering, providing systematic methods to convert, refine and synchronise models throughout the software development lifecycle.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results