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SAS for Linear Models by Ramon Littell at Abbey's Bookshop,
SAS for Linear Models
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Ramon Littell Walter W. Stroup

SAS for Linear Models

Ramon Littell,  Walter W. Stroup,  Rudolf Freund

$188.95

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English
John Wiley & Sons Inc
10 May 2002
Linear programming
Features and capabilities of the REG, ANOVA, and GLM procedures are included in this introduction to analysing linear models with the SAS System. This guide shows how to apply the appropriate procedure to data analysis problems and understand PROC GLM output. Other helpful guidelines and discussions cover the following significant areas: Multivariate linear models; lack-of-fit analysis; covariance and heterogeneity of slopes; a classification with both crossed and nested effects; and analysis of variance for balanced data. This fourth edition includes updated examples, new software-related features, and new material, including a chapter on generalised linear models. Version 8 of the SAS System was used to run the SAS code examples in the book.
* Provides clear explanations of how to use SAS to analyse linear models
* Includes numerous SAS outputs
* Includes new chapter on generalised linear models
* Uses version 8 of the SAS system

This book assists data analysts who use SAS/STAT software to analyse data using regression analysis and analysis of variance. It assumes familiarity with basic SAS concepts such as creating SAS data sets with the DATA step and manipulating SAS data sets with the procedures in base SAS software.
By:   , ,
Imprint:   John Wiley & Sons Inc
Country of Publication:   United States
Edition:   4th edition
Dimensions:   Height: 229mm,  Width: 152mm,  Spine: 15mm
Weight:   363g
ISBN:   9780471221746
ISBN 10:   0471221740
Pages:   496
Publication Date:  
Audience:   College/higher education ,  Professional and scholarly ,  A / AS level ,  Further / Higher Education
Format:   Paperback
Publisher's Status:   Active
Acknowledgments. Chapter 1. Introduction. Chapter 2. Regression. Chapter 3. Analysis of Variance for Balanced Data. Chapter 4. Analyzing Data with Random Effects. Chapter 5. Unbalanced Data Analysis: Basic Methods. Chapter 6. Understanding Linear Models Concepts. Chapter 7. Analysis of Covariance. Chapter 8. Repeated-Measures Analysis. Chapter 9. Multivariate Linear Models. Chapter 10. Generalized Linear Models. Chapter 11. Examples of Special Applications. References. Index.

Ramon Littell and Walter W. Stroup are the authors of SAS for Linear Models, 4th Edition, published by Wiley.

Reviews for SAS for Linear Models

The third edition...was published over a decade ago. Thus...theamount of brand-new and updated material in the fourth editionwould fully justify its purchase. ( The AmericanStatistician, Vol. 58, No. 1, February 2004) ...the authors have done an excellent job incorporating thelatest analysis methods and latest software updates...an excellentreference, on the I would have enjoyed having as a student...andone that I will certainly use now. (Technometrics, Vol. 45, No. 2,May 2003)


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