SAS for data analysis : intermediate statistical methods / Mervyn G Marasinghe and William J Kennedy.
Series: Statistics and computingPublication details: New Delhi : Springer, 2015.Description: xii, 557 p. ; illustrationsISBN:- 9788132233152
- 000SA.055 23 M311
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.055 M311 (Browse shelf(Opens below)) | Available | 136976 | |||
| Books | ISI Library, Kolkata | 000SA.055 M311 (Browse shelf(Opens below)) | Available | 136980 | |||
| Books | ISI Library, Kolkata | 000SA.055 M311 (Browse shelf(Opens below)) | Available | 136979 | |||
| Books | ISI Library, Kolkata Textbook Library | 000SA.055 M311 (Browse shelf(Opens below)) | Available | 136977 | |||
| Books | ISI Library, Kolkata | 000SA.055 M311 (Browse shelf(Opens below)) | Available | 136978 |
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| 000SA.8 Sh562 Applied statistical time series analysis | 000SA.031 J68 Distribution of statistics | 000SA.054 T916 Exploratory data analysis | 000SA.055 M311 SAS for data analysis : | 000SA.07 J68 Multivariate statistical simulation | 000SA.081 C663 Sampling techniques | 000SA.17 Si571 Sequential analysis tests and confidence intervals |
with 100 SAS programs.
Springer special priced edition
Includes bibliographical references and index.
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.
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.
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