A SAS/IML Companion for Linear Models

• Main Author: Perrett, Jamis J. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2010.
• Series: Statistics and Computing,
• Subjects: Mathematics.; Computer mathematics.; Computer software.; Probabilities.; Statistics.; Probability Theory and Stochastic Processes.; Computational Mathematics and Numerical Analysis.; Mathematical Software.; Statistical Theory and Methods.

Linear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formulas beh...

Table of Contents:

• SAS/IML: A Brief Introduction
• IML Language Structure
• IML Programming Features
• Matrix Manipulations in SAS/IML
• Mathematical and Statistical Basics
• Linear Algebra
• The Multivariate Normal Distribution
• The General Linear Model
• Linear Mixed Models
• Statistical Computation Methods.