一本经典SAS统计书

lZ好人啊

it is a good book. Thanks a lot!!!<br/>

好人呀!如今好人太少了.谢谢!

全英文的,看得有些头大

【书名】<b class="sans">Handbook of Statistical Analyses Using SAS</b>
        <br/>【作者】<a href="http://www.amazon.com/exec/obidos/search-handle-url/104-6384442-3252750?%5Fencoding=UTF8&amp;search-type=ss&amp;index=books&amp;field-author=Geoff%20Der">Geoff Der</a> &amp; <a href="http://www.amazon.com/exec/obidos/search-handle-url/104-6384442-3252750?%5Fencoding=UTF8&amp;search-type=ss&amp;index=books&amp;field-author=Brian%20S.%20Everitt">Brian S. Everitt</a>
        <br/>【出版社】Chapman &amp; Hall/CRC<br/>【版本】2 edition<br/>【出版日期】August 21, 2001<br/>【文件格式】PDF<br/>【文件大小】4.5M<br/>【页数】 376 pages<br/>【ISBN出版号】978-1584882459<br/>【资料类别】书<br/>【市面定价】US$ 54.95 <br/>【扫描版还是影印版】影印版<br/>【是否缺页】完整<br/>【关键词】SAS 8.1 handbook<br/><br/>【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.<br/><br/>【目录】 <br/>                 1 A Brief Introduction to SAS<br/>                    2 Data Description and Simple Inference: Mortality and Water<br/>                     3 Simple Inference for Categorical Data: From Sandflies to Organic Particulates in the Air<br/>                     4 Multiple Regression: Determinants of Crime Rate in the United States<br/>                     5 Analysis of Variance I: Treating Hypertension<br/>                     6 Analysis of Variance II: School Attendance Amongst Australian Children<br/>                     7 Analysis of Variance of Repeated Measures: Visual Acuity<br/>                     8 Logistic Regression: Psychiatric Screening, Plasma Proteins, and Danish Do-It-Yourself   <br/>                     9 Generalised Linear Models: School Attendance Amongst Australian School Children<br/>                10 Longitudinal Data I: The Treatment of Postnatal Depression<br/>                11 Longitudinal Data II: The Treatment of Alzheimer’s Disease<br/>                12 Survival Analysis: Gastric Cancer and Methadone Treatment of Heroin Addicts<br/>                13 Principal Components Analysis and Factor Analysis: The Olympic Decathlon and Statements about Pain<br/>                14 Cluster Analysis: Air Pollution in the U.S.A.<br/>                15 Discriminant Function Analysis: Classifying Tibetan Skulls<br/>                16 Correspondence Analysis: Smoking and Motherhood, Sex and the Single Girl, and European  Stereotypes<br/>                Appendix A: SAS Macro to Produce Scatterplot Matrices<br/>                Appendix B: Answers to Selected Chapter Exercises<br/>                References<br/><br/>【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.<br/> -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.<br/> -M. K. Smith, Biometrics, June 2002

thanks for sharing<br/>

收下，谢谢了！！

<p>感谢楼主。。。</p><p></p>

hehe ，谢谢分享。好好学习

kankan