详细书目
| 材料类型: | 互联网资源 |
|---|---|
| 文件类型: | 书, 互联网资源 |
| 所有的著者/提供者: |
C Y Joanne Peng |
| ISBN: | 9781412956741 1412956749 |
| OCLC号码: | 212376101 |
| 描述: | xii, 627 p. : ill. ; 26 cm. |
| 内容: | I: Introduction to SAS and basic data analysis -- Why do you need to learn SAS for data analysis? -- Where do you start? -- How to prepare data for SAS processing -- From data to a SAS data set -- Enhancing the readability of SAS programs and output -- Verifying data -- Data transformation -- II: Statistical procedures -- Quick descriptive analysis -- Comprehensive descriptive analysis and normality test -- Graphing data -- Categorical data analysis -- t-Test of population means -- Analysis of variance -- Inferences about two or more population typical scores by ranks -- Examining trends in data -- Correlation -- When do you stop worrying and start loving regression? -- III: Advanced data and file management -- Selecting variables or observations from a SAS data set -- Repetitive and conditional data processing -- Structuring SAS data sets. |
| 责任: | C.Y. Joanne Peng. |
| 更多信息: |
评论
社评
出版商概要
"Peng provides an excellent overview of data analysis using the powerful statistical software package SAS. This book is quite appropriate as a self-placed tutorial for researchers, as well as a textbook or supplemental workbook for data analysis courses such as statistics or research methods. Peng provides detailed coverage of SAS capabilities using step-by-step procedures and includes numerous comprehensive graphics and figures, as well as SAS printouts. Readers do not need a background in computer science or programming. Includes numerous examples in education, health sciences, and business." -- D. J. Gougeon 20090302 再读一些...
标签
添加标签 目的是为 "Data analysis using SAS".
争取是第一个!
