The use of geometric concepts in the general linear regression model

This thesis consists of five chapters. In the first chapter, an introduction to the thesis is given. In the introduction, some information on matrix theory and its use in linear models is given. In the second chapter, it is given linear regression models, hypothesis tests and some basic informations about estimability in linear models. In the third chapter, the relationships between the linear models and parameter estimations in these models are explained and geometric approaches have been given about them. In this section, firstly the models with full rank models are emphasized. In the fourth chapter, it is given some results and suggestions. Finally, it is listed some references in fifth chapter.