Auckland, Northland and parts of the Waikato are now operating under Level 3 restrictions with Click & Collect services now available at the majority of our stores. All stores outside of Level 3 areas remain open for in-store customers. Online orders will be available for all customers with some delays due to courier backlogs and lockdown procedures.
Statistical Data Analysis Using SAS -

Statistical Data Analysis Using SAS

Intermediate Statistical Methods

By Mervyn G. Marasinghe, Kenneth J. Koehler

Paperback

$227.70

Or 4 payments of $56.92 with

delivery message Free delivery for orders over $49.99

Add to Favourites
Sourced from our Overseas Supplier
Delivered in 10 - 20 days
Available for Click and Collect
The aim of this textbook (previously titled SAS for Data Analytics) is to teach the use of SAS for statistical analysis of data for advanced undergraduate and graduate students in statistics, data science, and disciplines involving analyzing data. The book begins with an introduction beyond the basics of SAS, illustrated with non-trivial, real-world, worked examples. It proceeds to SAS programming and applications, SAS graphics, statistical analysis of regression models, analysis of variance models, analysis of variance with random and mixed effects models, and then takes the discussion beyond regression and analysis of variance to conclude. Pedagogically, the authors introduce theory and methodological basis topic by topic, present a problem as an application, followed by a SAS analysis of the data provided and a discussion of results. The text focuses on applied statistical problems and methods. Key features include: end of chapter exercises, downloadable SAS code and data sets, and advanced material suitable for a second course in applied statistics with every method explained using SAS analysis to illustrate a real-world problem. New to this edition: * Covers SAS v9.2 and incorporates new commands * Uses SAS ODS (output delivery system) for reproduction of tables and graphics output * Presents new commands needed to produce ODS output * All chapters rewritten for clarity * New and updated examples throughout * All SAS outputs are new and updated, including graphics * More exercises and problems * Completely new chapter on analysis of nonlinear and generalized linear models * Completely new appendix Mervyn G. Marasinghe, PhD, is Associate Professor Emeritus of Statistics at Iowa State University, where he has taught courses in statistical methods and statistical computing. Kenneth J. Koehler, PhD, is University Professor of Statistics at Iowa State University, where he teaches courses in statistical methodology at both graduate and undergraduate levels and primarily uses SAS to supplement his teaching.

Product code: 9783319692388

ISBN 9783319692388
Dimensions (HxWxD in mm) H254xW178
Series Springer Texts in Statistics
No. Of Pages 679
Publisher Springer International Publishing AG
Edition 2nd ed. 2018
This book is an integrated treatment of applied statistical methods, presented at an intermediate level. It serves as an advanced introduction to the SAS programming language as well as demonstrating how to use SAS to analyse of a wide variety of data.