Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

Introduces methods, theory, and applications of linear statistical models, covering topics such as estimation, residual diagnostics, goodness of fit, transformations, and various strategies for ...

In order to combine prior and sample information in the estimation of regression coefficients, when the prior knowledge about the parameter space exists in the form of inequality constraints, the ...

This is a preview. Log in through your library . Abstract There has been increasing concern recently over the use of the simple first order Markov form to model error ...