Dr. S. R. Lasker Library Online Catalogue

Home      Library Home      Institutional Repository      E-Resources      MyAthens      EWU Home

Amazon cover image
Image from Amazon.com

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

By: Perrett, Jamis JMaterial type: TextTextLanguage: English Series: Statistics and computingPublication details: New York : Springer, c2010. Description: xiv, 228 p. : ill. ; 24 cmISBN: 9781441955562 (pbk. : acidfree paper); 1441955569 (pbk. : acidfree paper); 1441955577 (ebk.); 9781441955579 (ebk.)Subject(s): Linear models (Statistics) -- Data processingDDC classification: 519.535 LOC classification: QA276.4 | .P468 2010Online resources: WorldCat details | E-book Fulltext
Contents:
TOC 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Copy number Status Date due Barcode Item holds
E-Book E-Book Dr. S. R. Lasker Library, EWU
E-book 		Non-fiction 519.535 PES 2010 (Browse shelf(Opens below)) Not for loan
Text Text Dr. S. R. Lasker Library, EWU
Reserve Section 		Non-fiction 519.535 PES 2010 (Browse shelf(Opens below)) C-1 Not For Loan 26642
Total holds: 0

Includes bibliographical references and index.

TOC 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.

AS MPS

Tahur Ahmed

There are no comments on this title.

to post a comment.