Product Description

Focusing on applied statistical models, this text has an applied approach with an emphasis on understanding of concepts and exposition by means of examples. Theoretical foundations are provided so that applications of regression analysis can be carried out. There is expanded use of graphics, scatter plot metrics, and 3D rotating plots. Case studies feature throughout the text.

Product Details

• Amazon Sales Rank: #946577 in Books
• Published on: 1996-02-01
• Original language: English
• Binding: Paperback
• 1265 pages

Customer Reviews

Outstanding as a text and for use by practitioners
As an academic statistician, I have used many textbooks over the years in pure and applied areas. This book is a truly outstanding text for classroom use. In addition, it makes an outstanding reference for practitioners who require use of linear models in their work. While it avoids much of the mathematical rigour of theoretical texts, it is much more than a collection of techniques. The topics are well motivated, the limitations concerning assumptions are clearly described, and methods for detecting and dealing with violations of assumptions are quite well explored. The book is a resounding success in achieving its mandate of bridging the gap between theory and applications. The clarity of exposition throughout the description of the methodologies and the many examples presented is truly outstanding. Lecturers and students alike will love it, and while it is impossible for the authors to cover the analysis of every possible design, practitioners are likely to find a worked example for their problem or at least a good guide as to how to proceed. This book is ideal for academic statisticians, either for classroom use or as a reference, and it is exceptional also for anyone who wants to implement statistical methods in their own work without over emphasis on the theory underlying the procedures.

Very useful, very clear
I don't have a statistics background and, despite using packages such as 'R', didn't have much of a handle on the theory behind them. I recently got stuck doing an unbalanced ANOVA. The last thing I wanted was to start reading a 1000+ page book on linear models. However, after trying several books from the library this one was the one that made it all click -- I bought the book soon afterwards. Its a good read, gives enough of the maths so you can feel confident using and documenting the techniques and contains some hidden gems such as non-linear regression and general linear models. The introductory statistics in the back is also very useful and welcome. An excellent book.