Titlebook: Statistical Data Analysis Using SAS; Intermediate Statist Mervyn G. Marasinghe,Kenneth J. Koehler Textbook 2018Latest edition Springer Inte

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Analysis of Variance: Random and Mixed Effects Models,d of moments and maximum likelihood estimates are illustrated using SAS output from GLM and MIXED procedures. Particular attention is paid to how expected mean squares output by SAS are used to calculate estimates of variance components and how these may be different from those obtained from likelihood methods.

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Beyond Regression and Analysis of Variance, section applies the GENMOD procedure to Poisson regression with rates. It also explores options provided by the LOGISTIC procedure for applying logistic regression to data with multi-category responses.

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978-3-319-69238-8Springer International Publishing AG, part of Springer Nature 2018

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Statistical Data Analysis Using SAS978-3-319-69239-5Series ISSN 1431-875X Series E-ISSN 2197-4136

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Mervyn G. Marasinghe,Kenneth J. KoehlerIntegrates SAS programming with complex data analysis applications.Focuses on using SAS and statistical aspects of models and methods of analysis.Introduction to SAS - beyond the basics and illustrate

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