Advanced Log-Linear Models Using SAS
The intermediate SAS user with a solid background in probability theory will benefit most from this book. Of particular help are the first two chapters, where the author lays the foundation for the discrete distributions and log-linear models. The novice reader who feels comfortable with the topics of probability and statistical distributions will benefit most from this presentation, while those with more experience will benefit from these chapters as review material. The conversational tone makes Advanced Log-Linear Models Using SAS a pleasure to read, and this newest addition to the SAS Press library a useful text for those users who need a reference text and those who need an application-oriented text. --Gregory E. Gilbert, MSPH, Dean's Office, College of Medicine, Medical University of South CarolinaI really enjoyed this book, it is written assuming very little of you. Everything is thoroughly explained and easy to follow. The examples are well chosen and teach the subject well. --Andrea Wainwright, PhilaSUG Executive Committee MemberThis book is for knowledgeable researchers, graduate students and financial practitioners.  It was refreshing to find that the authors provide a summary of each topic that explains in simple to understand language both the output from the various SAS PROCs used and the statistical interpretation with respect to the hypothesis being tested. In addition, the actual SAS code is listed, highlighted and illustrated in a way that makes it easy for people to start using SAS quickly and easily to do their financial and statistical analysis.  As a working mathematician and statistician who has no formal education and limited experience in economics or the stock market, I found the book enlightening about some of the inner philosophies of economics and stock market trading practices. And for those people who are involved in such areas and who have to perform financial research, I highly recommend this book as a valuable asset to their financial tools. I especially recommend it to those people who are in the early stages of their careers, during which statistical analysis using computer software is often required. --Charles Patridge, The Hartford