Regression Using JMP
Like all of the JMP documentation, I found Regression Using JMP by Freund, Littell, and Creighton to be well written and helpful. I found the chapter on collinearity to be particularly useful, as it explained the use of leverage plots to explore collinearity in a clear, straightforward manner. I also found the technical support over the phone to be particularly helpful in explaining some of the concepts in the book. --Rob Gier, Medication Delivery, Baxter Healthcare CorporationThe text provides a great introduction to JMP linear and nonlinear regression models. The examples of the models used provide the framework for many of the commonly used multivariate statistical methods, multiple regression, analysis of variance, analysis of covariance for continuous response data, and logistic regression for binary data. The basic fundamentals of regression diagnostics are illustrated at a very elementary level with detailed explanations. The examples in the text are very applicable to various disciplines and very easy to understand and follow. Overall I would highly recommend this text to anyone in need of a manual in regression methods in JMP. --RLuis Rene Mateo, Research StatisticianRegression Using JMP is a well-written book for the intermediate-level statistician who wants to get more from the JMP program.  The introductory chapter provides a solid review of basic regression theory. Matrix theory is often omitted from software-related books. It was a pleasant surprise to see it included. Matrix formulas are used throughout the book.  Many subtle JMP features (regression related or not) are incorporated into the examples. I particularly liked the combination of JMP features used in the presentation of regression diagnostics--for example, blending the use of overlay plots, colors, and markers with the standard Fit Y by X tools. Most JMP texts and classes limit their presentations solely to the platform being presented.  This book offers a better blend of theory and mechanics than most software-oriented texts. In the explanatory paragraphs, 'English  descriptions of the parameters are regularly presented before proceeding with the more theoretical detail. They explain statistical assumptions, pitfalls, and how the newly introduced parameter relates to other terms.  Overall, I would recommend this book to my fellow JMP users. --Eric Hamann, Wyeth, Principal Biostatistician