| 查看: 205 | 回复: 1 | |||
| 当前主题已经存档。 | |||
wanxiu至尊木虫 (知名作家)
小水王
|
[交流]
【Wiley】非数值数据的分析
|
||
|
Title: An Introduction to Categorical Data Analysis Author: Alan Agresti Publisher: Wiley-Interscience Number Of Pages: 290 Summary: Concise, complete, nontechnical—the ideal introduction to an increasingly important topic In recent years, the use of statistical methods for categorical data has increased dramatically in a variety of areas and applications. This book provides an applied introduction to the most important methods for analyzing categorical data. It summarizes methods that have long played a prominent role, such as chi-squared tests, but places special emphasis on logistic regression and loglinear modeling techniques. Special features of the book include: * Emphasis on logistic regression modeling of binary data and Poisson regression modeling of count data * A unified perspective, based on generalized linear models, that connects these methods with standard regression methods for normally-distributed data * An appendix showing the use of a new SAS procedure (GENMOD) for generalized linear modeling that can conduct nearly all methods presented in the book * An entertaining historical perspective of the development of the methods * Specialized methods for ordinal data, small samples, multicategory data, and matched pairs * More than 100 examples of real data sets and more than 200 exercises Writing in an applied, nontechnical style, Alan Agresti illustrates methods using a wide variety of real data, including alcohol, cigarette, and marijuana use by teenagers; AZT use and delay of AIDS; space shuttle launches and O-ring failure; passive smoking and lung cancer; and much more. An Introduction to Categorical Data Analysis is an invaluable tool for social, behavioral, and biomedical scientists, as well as researchers in public health, marketing, education, biological and agricultural sciences, and industrial quality control. http://rapidshare.de/files/34915991/Agresti.rar.html |
回复此楼» 猜你喜欢
全日制（定向）博士
已经有5人回复
-
假如你的研究生提出不合理要求
已经有10人回复
-
萌生出自己或许不适合搞科研的想法，现在跑or等等看？
已经有4人回复
-
Materials Today Chemistry审稿周期
已经有4人回复
-
参与限项
已经有3人回复
-
实验室接单子
已经有4人回复
-
对氯苯硼酸纯化
已经有3人回复
-
求助:我三月中下旬出站，青基依托单位怎么办？
已经有12人回复
-
所感
已经有4人回复
-
要不要辞职读博？
已经有7人回复
li8512420
木虫 (正式写手)
- 应助: 5 (幼儿园)
- 金币: 1811.6
- 红花: 1
- 帖子: 588
- 在线: 119.6小时
- 虫号: 100613
- 注册: 2005-11-12
- 专业: 数理统计
2楼2007-01-10 09:38:36