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SAS for Data Analysis

Intermediate Statistical Methods

  • Textbook
  • © 2008

Overview

Authors:
  1. Mervyn G. Marasinghe

    1. Dept. Statistics, Iowa State University, Ames, U.S.A.

    View author publications

    You can also search for this author in PubMed   Google Scholar

  2. William J. Kennedy

    1. Dept. Statistics, Iowa State University, Ames, U.S.A.

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Although there are several books on SAS, this book covers a wider array of topics and at a greater depth
  • Includes supplementary material: sn.pub/extras

Part of the book series: Statistics and Computing (SCO)

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Table of contents (6 chapters)

  1. Front Matter

    Pages 1-10
    Download chapter PDF

  2. Introduction to the SAS Language

    • Mervyn G. Marasinghe, William J. Kennedy
    Pages 1-54

  3. More on SAS Programming and Some Applications

    • Mervyn G. Marasinghe, William J. Kennedy
    Pages 1-73

  4. Statistical Graphics Using SAS/GRAPH

    • Mervyn G. Marasinghe, William J. Kennedy
    Pages 1-58

  5. Statistical Analysis of Regression Models

    • Mervyn G. Marasinghe, William J. Kennedy
    Pages 1-87

  6. Analysis of Variance Models

    • Mervyn G. Marasinghe, William J. Kennedy
    Pages 1-113

  7. Analysis of Variance: Random and Mixed Effects Models

    • Mervyn G. Marasinghe, William J. Kennedy
    Pages 1-113

  8. Back Matter

    Pages 1-53
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Keywords

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.

Authors and Affiliations

  • Dept. Statistics, Iowa State University, Ames, U.S.A.

    Mervyn G. Marasinghe, William J. Kennedy

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