Statistical Programming in SAS

Bailer PhD A., John:

ISBN 10: 1599946564 / ISBN 13: 9781599946566

Published by SAS Institute, 2010

About this Item

460 Seiten Alle Bücher & Medienartikel von Book Broker Berlin sind stets in gutem & sehr gutem gebrauchsfähigen Zustand. Dieser Artikel weist folgende Merkmale auf: Helle/saubere Seiten in fester Bindung. Leichte Gebrauchsspuren. Sprache: Englisch Gewicht in Gramm: 975 Taschenbuch, Größe: 19.1 x 2.6 x 23.5 cm.

Seller Inventory # 660746171

Bibliographic Details

• Title: Statistical Programming in SAS
• Publisher: SAS Institute
• Publication Date: 2010
• Language: English
• ISBN 10: 1599946564
• ISBN 13: 9781599946566
• Binding: Soft cover
• Condition: Gut
• Weight: 975 grams
• Seller catalogs:
  • Computer & Internet

About this title

Synopsis

In Statistical Programming in SAS, author A. John Bailer integrates SAS tools with interesting statistical applications and uses SAS 9.2 as a platform to introduce programming ideas for statistical analysis, data management, and data display and simulation. Written using a reader-friendly and narrative style, the book includes extensive examples and case studies to present a well-structured introduction to programming issues.

This book has two parts. The first part addresses the nuts and bolts of programming, including fostering good programming habits, getting external data sets into SAS to construct an analysis data set, generating basic descriptive statistical summaries, producing customized tables, generating more attractive output, and producing high-quality graphical displays. The second part emphasizes programming in the context of a DATA step, in macros, and in SAS/IML software.

Examples of statistical methods and concepts not always encountered in basic statistics courses (for example, bootstrapping, randomization tests, and jittering) are used to illustrate programming ideas. This book provides extensive illustrations of the new statistical graphics procedures in SAS, a description of the new ODS Graphics Editor, and an introduction to some of the capabilities of SAS/IML Studio, such as producing dynamically linked data displays and invoking R from SAS.

About the Author

John A. Bailer A. John Bailer, PhD, is Distinguished Professor and Chair in the Department of Statistics at Miami University in Oxford, Ohio. He is an affiliate member of the Department of Sociology and Gerontology and the Department of Zoology, an affiliate member at th e Institute of Environmental Sciences, and a Scripps Research Fellow at the Scripps Gerontology Center, which are all at Miami. He received his PhD in Biostatistics from the University of North Carolina at Chapel Hill. He is a Fellow of the American Statis tical Association and the Society for Risk Analysis, and he is a member of the International Biometric Society and the International Statistical Institute. He has used SAS® software for approximately 30 years, and remembers a time when all you needed to kn ow about SAS was contained in one user's guide.