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About this book

This book is intended for use as the textbook in a second course in applied statistics that covers topics in multiple regression and analysis of variance at an intermediate level. Generally, students enrolled in such courses are p- marily graduate majors or advanced undergraduate students from a variety of disciplines. These students typically have taken an introductory-level s- tistical methods course that requires the use a software system such as SAS for performing statistical analysis. Thus students are expected to have an - derstanding of basic concepts of statistical inference such as estimation and hypothesis testing. Understandably, adequate time is not available in a ?rst course in stat- tical methods to cover the use of a software system adequately in the amount of time available for instruction. The aim of this book is to teach how to use the SAS system for data analysis. The SAS language is introduced at a level of sophistication not found in most introductory SAS books. Important features such as SAS data step programming, pointers, and line-hold spe- ?ers are described in detail. The powerful graphics support available in SAS is emphasized throughout, and many worked SAS program examples contain graphic components.

Table of Contents

Frontmatter

1. Introduction to the SAS Language

Without Abstract
Mervyn G. Marasinghe, William J. Kennedy

2. More on SAS Programming and Some Applications

Without Abstract
Mervyn G. Marasinghe, William J. Kennedy

3. Statistical Graphics Using SAS/GRAPH

Without Abstract
Mervyn G. Marasinghe, William J. Kennedy

4. Statistical Analysis of Regression Models

Without Abstract
Mervyn G. Marasinghe, William J. Kennedy

5. Analysis of Variance Models

Without Abstract
Mervyn G. Marasinghe, William J. Kennedy

6. Analysis of Variance: Random and Mixed Effects Models

Without Abstract
Mervyn G. Marasinghe, William J. Kennedy

Backmatter

Additional information

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