SAS for Data Analysis (Statistics and Computing)

You looking to find the "SAS for Data Analysis (Statistics and Computing)" Good news! You can purchase SAS for Data Analysis (Statistics and Computing) with secure price and compare to view update price on this product. And deals on this product is available only for limited time.

   

Product Description

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. More recently, several authors in statistical methodology have begun to incorporate SAS in their texts but these books are limited to more specialized subjects. Many of the standard topics covered in statistical methods texts supplemented by advanced material more suited for a second course in applied statistics are included, so that specific aspects of SAS procedures can be illustrated. Brief but instructive reviews of the statistical methodologies used are provided, and then illustrated with analysis of data sets used in well-known statistical methods texts. Particular attention is devoted to discussions of models used in each analysis because the authors believe that it is important for users to have not only an understanding of how these models are represented in SAS but also because it helps in the interpretation of the SAS output produced.

SAS for Data Analysis (Statistics and Computing) Review

This book is designed to be a 2nd quarter graduate level statistics text for non-math majors. It features good writing, and well annotated code and output. Some sections have math up-to and including matrix algebra but strong math skills are not essential to use the book. The topics include:

Chapter 1: Introduction to SAS
Input and retain statements for loading and manipulating data

If you have the bad luck of getting data as a "complex" text file, where SAS can not automatically guess the format when you use the import procedure, this chapter alone makes the book worth the money. It is a GREAT discussion of reading complex text files.

Chapter 2: More on SAS Programing and Some Applications
Univariate statistics, proc plot, proc chart and proc tabulate for very early 1980s looking graphics

Chapter 3: Statistical Graphics Using SAS/Graph
Gplot and Gchart for qunatile, QQ plots, scatterplots, scatter matrices histograms for very early 1990s looking graphics

Chapter 4: Regression Models
Ordinary least squares regression and basic ANOVA (proc reg and proc anova), 4 types of sums of squares in SAS

Chapter 5: Analysis of Variance
Proc anova and glm for oneway anova, one way ancova and two way experiments

Chapter 6 Random and mixed effects modesls
Proc GLM and proc mixed for one and two way models

At the time of this review SAS 9.2 is out and it makes the graphics in this book (1/4 of the material) absolutely obsolete. If you are learning SAS with SAS 9.1.3 then this has very worthwhile coverage of the topics above. If you are using 9.2 you will want to sit down with the online documentation for the new graphics to look up the plots instead of using the code in the book. This would have been a 5 star book filling in topics not well covered in the SAS Press books if it was published 4 years ago. Sadly, it needs a 2nd edition already.

Most of the consumer Reviews tell that the "SAS for Data Analysis (Statistics and Computing)" are high quality item. You can read each testimony from consumers to find out cons and pros from SAS for Data Analysis (Statistics and Computing) ...