SAS for data analysis
intermediate statistical methods
Marasinghe, Mervyn G.
creator
author
Kennedy, William J.
author
xxu
New Delhi
Springer
2015
eng
xii, 557 p. ; illustrations.
This book is an integrated treatment of applied statistical methods, presented at an intermediate level, and the SAS programming language. It serves as an advanced introduction to SAS as well as how to use SAS for the analysis of data arising from many different experimental and observational studies. While there are many introductory texts on SAS programming, statistical methods texts that solely make use of SAS as the software of choice for the analysis of data are rare. While this is understandable from a marketability point of view, clearly such texts will serve the need of many thousands of students and professionals who desire to learn how to use SAS beyond the basic introduction they usually receive from taking an introductory statistics course.
1. Introduction to SAS language. -
2. More on SAS programming and some applications. -
3. Statistical graphics using SAS/GRAPH. -
4. Statistical analysis of regression models. -
5. Analysis of variance models. -
6. Analysis of variance: random mixed effects models. - Appendices. -
References. -
Index.
Mervyn G Marasinghe and William J Kennedy.
with 100 SAS programs.
Springer special priced edition
Includes bibliographical references and index.
SAS (Computer file)
Mathematical statistics
Software
000SA.055 M311
Statistics and computing
9788132233152
ISI Library
160617
20160620131535.0
136976
eng