85楼给出的附件说明
【书名】Handbook of Statistical Analyses Using SAS
【作者】Geoff Der & Brian S. Everitt
【出版社】Chapman & Hall/CRC
【版本】2 edition
【出版日期】August 21, 2001
【文件格式】PDF
【文件大小】4.5M
【页数】 376 pages
【ISBN出版号】978-1584882459
【资料类别】书
【市面定价】US$ 54.95
【扫描版还是影印版】影印版
【是否缺页】完整
【关键词】SAS 8.1 handbook
【内容简介】Powerful software often comes, unfortunately, with an overwhelming amount of documentation. As a leading statistics software package, SAS is no exception. Its manuals comprise well over 10,000 pages and can intimidate, or at least bewilder, all but the most experienced users. A Handbook of Statistical Analyses using SAS, Second Edition comes to the rescue. Fully revised to reflect SAS Version 8.1, it gives a concise, straightforward description of how to conduct a range of statistical analyses. The authors have updated and expanded every chapter in this new edition, and have incorporated a significant amount of new material. The book now contains more graphical material, more and better data sets within each chapter, more exercises, and more statistical background for each method. Completely new topics include the following: · Data description and simple inference for categorical variables · Generalized linear models · Longitudinal data: Two new chapters discuss simple approaches, graphs, summary measure, and random effect models Researcher or student, new user or veteran, you will welcome this self-contained guide to the latest version of SAS. With its clear examples and numerous exercises, A Handbook of Statistical Analyses using SAS, Second Edition is not only a valuable reference, but also forms the basis for introductory courses on either SAS or applied statistics at any level, from undergraduate to professional.
【目录】
                 1 A Brief Introduction to SAS
                 2 Data Description and Simple Inference: Mortality and Water
                 3 Simple Inference for Categorical Data: From Sandflies to Organic Particulates in the Air
                 4 Multiple Regression: Determinants of Crime Rate in the United States
                 5 Analysis of Variance I: Treating Hypertension
                 6 Analysis of Variance II: School Attendance Amongst Australian Children
                 7 Analysis of Variance of Repeated Measures: Visual Acuity
                 8 Logistic Regression: Psychiatric Screening, Plasma Proteins, and Danish Do-It-Yourself  
                 9 Generalised Linear Models: School Attendance Amongst Australian School Children
                10 Longitudinal Data I: The Treatment of Postnatal Depression
                11 Longitudinal Data II: The Treatment of Alzheimer’s Disease
                12 Survival Analysis: Gastric Cancer and Methadone Treatment of Heroin Addicts
                13 Principal Components Analysis and Factor Analysis: The Olympic Decathlon and Statements about Pain
                14 Cluster Analysis: Air Pollution in the U.S.A.
                15 Discriminant Function Analysis: Classifying Tibetan Skulls
                16 Correspondence Analysis: Smoking and Motherhood, Sex and the Single Girl, and European  Stereotypes
                Appendix A: SAS Macro to Produce Scatterplot Matrices
                Appendix B: Answers to Selected Chapter Exercises
                References
【整理书评】a concise but simple manual for using SAS. It has put thousands of pages of SAS manuals in less than 400 pages of a paperbackdescribes the use of SAS Version 8.1 in the Microsoft Windows Environment. However, the programming part can be used in almost any environment The authors have again done an excellent job of explaining each statement as well as the resulting output In summary, the handbook introduces SAS programming through a number of datasets of varied complexity, makes the datasets suitable for analysis through programming statements, then uses SAS procedures for analysis. SAS procedures and the resulting outputs are properly explained, and suggestions for appropriate analyses are provided where necessary. Overall, I consider this an excellent handbook for a beginning SAS user. Statisticians and nonstatisticians can both benefit from this book.
-The American Statistician, November 2002The aim of the book - to provide an easy to read reference for new users of SAS without having to resort to trawling through the manuals -- is well met. I feel that this would be a very good starting point for any student or researcher who wishes to learn the basics about the statistical techniques covered and how they can be programmed in SAS. The examples provided in the book cover a good range of data situations and analysis techniques.
-M. K. Smith, Biometrics, June 2002