Includes thorough treatment of logistic and Poisson regression. * Introduction to generalized estimating questions. * Numerous examples in fields ranging from biology and biopharmaceuticals to engineering and quality assurance. * Provides guidance in using widely available software to illustrate all aspects of model-fitting, inference, and diagnostic testing.
It's a very good introductory level textbook on generalize linear models, emphasizing their applications in engineering and science. The logic is easy to follow and the concepts are explained well; however, there are too many typos in the text and equations that need to be fixed in the next edition.
Borrow it from the library, but it's not worth the money to get your own.