01951 a2200265 4500001000700000003002100007005001700028008004100045020001800086040002100104082002400125100003500149245010900184260003400293300003500327490002900362500002700391500003600418504005100454505031400505520076700819650002601586650004001612700003301652136976ISI Library, Kolkata20160620131535.0160617b xxu||||| |||| 00| 0 eng d a9788132233152 aISI Librarybeng04a000SA.055223bM3111 aMarasinghe, Mervyn G.,eauthor10aSAS for data analysis : bintermediate statistical methods /cMervyn G Marasinghe and William J Kennedy. aNew Delhi :bSpringer,c2015. axii, 557 p. ;billustrations. 0 aStatistics and computing awith 100 SAS programs. aSpringer special priced edition aIncludes bibliographical references and index.0 a1. 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. aThis 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. 0aSAS (Computer file) 0aMathematical statistics xSoftware.1 aKennedy, William J.,eauthor