Springer Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS (Springer Texts in Statistics)

Product Description This presentation of statistical methods features extensive use of graphical displays for exploring data and for displaying the analysis. The authors demonstrate how to analyze data―showing code, graphics, and accompanying computer listings. They emphasize how to construct and interpret graphs, discuss principles of graphical design, and show how tabular results are used to confirm the visual impressions derived from the graphs. Many of the graphical formats are novel and appear here for the first time in print. Review From the reviews: "Heiberger and Holland have produced a comprehensive, well-presented review of essential statistical topics...this is an excellent book for suppporting advanced undergraduate courses on statsitics or data analysis [and] a valuable reference source to researchers..." Biomedical Engineering Online, 2005, 4:18 "Overall, I am impressed with this book and recommend it for graduate statistical methods courses where S-PLUS, R, or SAS is used. There is good incorporation of software tools that complement the statsitical methods presented that go beyond what most statistical methods books provide, a very broad range of topics is covered with examples representing many disciplines, and the emphasis of graphing and presentation of data is excellent." Technometrics, August 2005 "Discussion of each topic begins with a clear and easy-to-read presentation of the relevant theory at a level that statistics majors (and nonmajors) would enjoy..." The American Statistician, August 2005 "Throughout the book, statistical theory is kept to a minimum, and statistical concepts and methods are well stated, without lengthy derivations of formulas, but with the aid of graphical displays. Many examples are provided to illustrate the use of statistical methods. Exercise problems are well written and will be good practice for readers." Biometrics, December 2005 "A notable aspect of this book is the strong emphasis given to presenting data using graphical displays as well as the instructions and programs provided to create these displays in … . The authors’ great emphasis on graphical methods … of the existing statistical methods books. I am impressed with this book and recommend it for graduate statistical methods courses where S-PLUS, R, or SAS is used. There is good incorporation of software tools …. The emphasis of graphing and presentation of data is excellent." (Theresa L. Utlaut, Technometrics, Vol. 47 (3), August, 2005) "The statistical analysis in the book is taught on interesting real examples. … the analysis is quite deep. An extraordinary care is devoted to graphical presentation of results. Many of the graphical formats are novel. … appendices to the book contain useful remarks on statistical software, typography, and a review of fundamental mathematical concepts. A reader who studies the book and repeats the authors’ calculations gains basic statistical skill and knowledge of software for solving similar problems in applications." (EMS - European Mathematical Society Newsletter, December, 2004) "This is a huge book with huge aims – and the authors managed to get it done. … is a modern textbook on many statistical methods including theory, with many well selected examples, and with code written for appropriate statistical software … . It is nice to see a book that tries to explain methods together with the usage of two widely used statistical software systems, namely SAS and the S language. This comprehensive book is a nice all rounder for statistics students … ." (Uwe Ligges, Statistical Papers, Vol. 47, 2005) "Although this book is aimed at postgraduate students, it would be equally valuable for non-specialists … . This book is a review of the most widely used areas of statistics … . A good feature of this book is that all the datasets used are freely available in online files … . Therefore, it is possible to carry out the analyses yourself … . There are many examples, whic