A SAS/IML Companion for Linear Models (Statistics and Computing) by Jamis J. Perrett
Springer; 2010 edition | December 21, 2009 | English | ISBN: 1441955569 | 228 pages | PDF | 2 MB
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 behind attractive user interfaces. This book bridges that gap, demonstrating theory put into practice.