Since the linear model forms the groundwork for most applied statistics, a course on the theory of the linear model is often required in most graduate statistics programs. "A Primer on Linear Models" presents a concise yet complete foundation for understanding basic linear models. Designed for a one-semester graduate course, this textbook begins with a practical discussion of basic algebra and geometry concepts as they apply to the linear model. The book then proceeds to an in-depth treatment of more advanced topics such as the Gauss-Markov model. The text also includes exercises of various levels of difficulty and features the constant use of non full-rank design matrices.
- ISBN: 978-1-4200-6201-4
- Editorial: CRC Press
- Encuadernacion: Rústica
- Páginas: 304
- Fecha Publicación: 24/04/2008
- Nº Volúmenes: 1
- Idioma: Inglés