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A SAS/IML companion for linear models

Author: Jamis J Perrett
Publisher: New York : Springer, ©2010.
Series: Statistics and computing.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
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. Concepts presented  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Perrett, Jamis J.
SAS/IML companion for linear models.
New York : Springer, ©2010
(OCoLC)462920229
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Jamis J Perrett
ISBN: 9781441955579 1441955577 1441955569 9781441955562
OCLC Number: 663097012
Description: 1 online resource (xiv, 228 pages) : illustrations.
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 Computational Methods --
In summary.
Series Title: Statistics and computing.
Responsibility: Jamis J. Perrett.

Abstract:

Linear Models Courses are often presented as either theoretical or applied. This book bridges the gap between the derivation of formulas and analyses that hide these formulas. It includes complete  Read more...

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From the reviews: "This book is intended to bridge the gap between the derivation of formulas and analysis that hides these formulas behind soft but attractive user interfaces. ... The book contains Read more...

 
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