Handbook of Statistical Analyses Using Sas, Second Edition

By David I Warton

Book Overview

Powerful software often comes, unfortunately, with an overwhelming amount of documentation. As a leading statistics software package, SAS is no exception. Its manuals comprise well over 10,000 pages and can intimidate, or at least bewilder, all but the most experienced users. A Handbook of Statistical Analyses using SAS, Second Edition comes to the rescue. Fully revised to reflect SAS Version 8.1, it gives a concise, straightforward description of how to conduct a range of statistical analyses. The authors have updated and expanded every chapter in this new edition, and have incorporated a significant amount of new material. The book now contains more graphical material, more and better data sets within each chapter, more exercises, and more statistical background for each method. Completely new topics include the following: Data description and simple inference for categorical variables Generalized linear models Longitudinal data: Two new chapters discuss simple approaches, graphs, summary measure, and random effect models Researcher or student, new user or veteran, you will welcome this self-contained guide to the latest version of SAS. With its clear examples and numerous exercises, A Handbook of Statistical Analyses using SAS, Second Edition is not only a valuable reference, but also forms the basis for introductory courses on either SAS or applied statistics at any level, from undergraduate to professional.

• Format: Paperback
• Language: English
• ISBN: 158488245x
• ISBN13: 9781584882459
• Release Date: August 2001
• Publisher: CRC Press
• Length: 376 Pages
• Weight: 1.22 lbs.
• Dimensions: 0.8" x 6.0" x 9.4"

Customer Reviews

applications illustrated in SAS

Brian Everitt is the author of several very well-written statistical texts. Among them he has written a number that show how to implement statistical analyses usimg statistical software packages. This second edition of "A Handbook of Statistical Analyses using SAS" he has coauthored with Geoff Der. As a SAS user, I find this book very handy along with other similar texts that I have on the use of SAS. What is particularly...

Nice book but you need to know the subject!

This is a nice book if you know the subject from another book ! - otherwise the explanation is limited.

Good If you know your Statistics

This is a good book if you know statistical analysis. Do you know what to use, when and where? If you do, this book is good because if you are going to use SAS for analysis you have got to know your statistics. What good would FORTRAN be if you didn't know Algebra? You need both.

Very readable and practical

This book is very well written. Each topic is presented with an interesting example, including discussion. None of the topics are presented in great depth, so for example, this is not the book to use for learning factor analysis, or cluster analysis, etc. The real strength of the book is that it shows how to do the analysis using SAS in a clear and concise way. I would recommend this book highly for anyone who would like to...

Good overview of implementations and methods

This book is a good overview of how to implement in SAS some of the statistical methods you've probably already read about. I had done a lot of reading on factor analysis and clustering for my dissertation and needed a way to implement these methods in SAS. This book explains each method, then shows how to implement it using SAS. The data sets are from "The Handbook of Small Data Sets", which I got from my local university...