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A SAS/IML companion for linear models / Jamis J. Perrett.

By: Perrett, Jamis J.
Material type: TextTextSeries: Statistics and computing: Publisher: New York : Springer, c2010Description: xiv, 228 p. : ill. ; 24 cm.ISBN: 9781441955562 (pbk. : acidfree paper); 1441955569 (pbk. : acidfree paper); 1441955577 (ebk.); 9781441955579 (ebk.).Subject(s): Linear models (Statistics) -- Data processingDDC classification: 519.535 Online resources: WorldCat details | E-book Fulltext
Contents:
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.
Summary: 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 examples of SAS code as well as code for high-level procedures.
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Includes bibliographical references and index.

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.

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 examples of SAS code as well as code for high-level procedures.

Applied Statistics Mathematics and Physical Sciences

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