SAS Statistics by Example - Softcover

Cody, Ron

Softcover

ISBN 10: 1607648008 ISBN 13: 9781607648000

Verlag: SAS Institute, 2011

Inhaltsangabe

In SAS Statistics by Example, Ron Cody offers up a cookbook approach for doing statistics with SAS. Structured specifically around the most commonly used statistical tasks or techniques--for example, comparing two means, ANOVA, and regression--this book provides an easy-to-follow, how-to approach to statistical analysis not found in other books.

For each statistical task, Cody includes heavily annotated examples using ODS Statistical Graphics procedures such as SGPLOT, SGSCATTER, and SGPANEL that show how SAS can produce the required statistics. Also, you will learn how to test the assumptions for all relevant statistical tests. Major topics featured are correlation, inferential statistics, descriptive statistics, categorical data analysis, simple linear regression, comparing means, multiple regression, logistic regression, non-parametric tests, and power and sample size.

This is not a book that teaches statistics. Rather, SAS Statistics by Example is perfect for intermediate to advanced statistical programmers who know their statistics and want to use SAS to do their analyses.

Über diesen Titel

Über die Autorin bzw. den Autor

Ron Cody, EdD, is a retired professor from the Rutgers Robert Wood Johnson Medical School who now works as a private consultant and national instructor for SAS. A SAS user since 1977, Ron's extensive knowledge and innovative style have made him a popular presenter at local, regional, and national SAS conferences. He has authored or co-authored numerous books, such as Learning SAS by Example: A Programmer's Guide, Second Edition; A Gentle Introduction to Statistics Using SAS Studio; Cody's Data Cleaning Techniques Using SAS, Third Edition; SAS Functions by Example, Second Edition; and several other books on SAS programming and statistical analysis. During his career at Rutgers Medical School, he authored or co-authored over 100 articles in scientific journals.

Details zur Ausgabe

• Verlag: SAS Institute
• Erscheinungsdatum: 2011
• Sprache: Englisch
• ISBN 10: 1607648008
• ISBN 13: 9781607648000
• Einband: Taschenbuch
• Anzahl der Seiten: 274
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar