„With excellent motivating and presenting style, this book issuitable for a beginning graduate level regression course.“(Journal of Statistical Computation and Simulation, July2005)
„... revises and expands the standard text, providing extensivecoverage of state-of-the-art theory...“ (Zentralblatt Math, Vol. 1029, 2004)
„... largely rewritten... very useful for self-study... anexcellent choice for a course in linear models and researchers whoare interested in recent literature in the fields...“(Technometrics, Vol. 45, No. 4, November 2003)
„... rewritten to reflect current thinking, such as themajor advances in computing during the past 25 years.“(Quarterly of Applied Mathematics, Vol. LXI, No. 3, September 2003)
Concise, mathematically clear, and comprehensive treatment of thesubject.
* Expanded coverage of diagnostics and methods of modelfitting.
* Requires no specialized knowledge beyond a good grasp of matrixalgebra and some acquaintance with straight-line regression andsimple analysis of variance models.
* More than 200 problems throughout the book plus outline solutionsfor the exercises.
* This revision has been extensively class-tested.
* Expanded coverage of diagnostics and methods of modelfitting.
* Requires no specialized knowledge beyond a good grasp of matrixalgebra and some acquaintance with straight-line regression andsimple analysis of variance models.
* More than 200 problems throughout the book plus outline solutionsfor the exercises.
* This revision has been extensively class-tested.
