Linear Model Approach to Regression Analysis and its Applications

The book provides a detailed account of the history of Regression Analysis followed by fundamental concepts of the subject by illustrative examples. Examples on the robustness of linear model techniques accommodating non-linear models have been highlighted in the text. Uniqueness of the book lies in introducing both the classical and g-inverse approaches in the development of linear estimation theory and following the same in the analysis of designs. Derivation of many results in the least squares theory by the background through the linear estimation approach throughout a complete chapter of examples are also salient features of the book.