This clear and comprehensive guide provides everything you need for powerful linear model analysis. Using a tutorial approach and plenty of examples, authors Ramon Littell, Walter Stroup, and Rudolf Freund lead you through methods related to analysis of variance with fixed and random effects. You will learn to use the appropriate SAS procedure for most experiment designs (including completely random, randomized blocks, and split plot) as well as factorial treatment designs and repeated measures. SAS for Linear Models, Fourth Edition, also includes analysis of covariance, multivariate linear models, and generalized linear models for non-normal data. Find inside: regression models; balanced ANOVA with both fixed- and random-effects models; unbalanced data with both fixed- and random-effects models; covariance models; generalized linear models; multivariate models; and repeated measures. New in this edition: MIXED and GENMOD procedures, updated examples, new software-related features, and other new material.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
"The third edition...was published over a decade ago. Thus...the amount of brand–new and updated material in the fourth edition would fully justify its purchase." ( The American Statistician, Vol. 58, No. 1, February 2004)
"...the authors have done an excellent job incorporating the latest analysis methods and latest software updates?an excellent reference, on the I would have enjoyed having as a student...and one that I will certainly use now." (Technometrics, Vol. 45, No. 2, May 2003)
"...the authors have done an excellent job incorporating the latest analysis methods and latest software updates...an excellent reference, on the I would have enjoyed having as a student...and one that I will certainly use now." (Technometrics, Vol. 45, No. 2, May 2003)
This clear and comprehensive guide provides everything you need for powerful linear model analysis. Using a tutorial approach and plenty of examples, authors Ramon Littell, Walter Stroup, and Rudolf Freund lead you through methods related to analysis of variance with fixed and random effects. You will learn to use the appropriate SAS procedure for most experiment designs (including completely random, randomized blocks, and split plot) as well as factorial treatment designs and repeated measures. SAS for Linear Models, Fourth Edition, also includes analysis of covariance, multivariate linear models, and generalized linear models for non-normal data. Find inside: regression models; balanced ANOVA with both fixed- and random-effects models; unbalanced data with both fixed- and random-effects models; covariance models; generalized linear models; multivariate models; and repeated measures. New in this edition: MIXED and GENMOD procedures, updated examples, new software-related features, and other new material.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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