Missing data is a major issue in many applied problems, especially in the biomedical sciences. We review four common approaches for inference in generalized linear models (GLMs) with missing covariate ...

The Canadian Journal of Statistics / La Revue Canadienne de Statistique, Vol. 31, No. 2 (Jun., 2003), pp. 115-128 (14 pages) The authors develop a functional linear model in which the values at time t ...

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 ...