SAS for Mixed Models — Scriptorium Liberum

SAS for Mixed Models: Introduction and B

📁 SAS for Mixed Models: Introduction and Basic Applications

✍ Walter W. Stroup; George A. Milliken; Elizabeth A. Claassen Claassen 📂 Library 📅 2018 🏛 SAS Institute 🌐 English

Discover the power of mixed models with SAS. Mixed models-now the mainstream vehicle for analyzing most research data-are part of the core curriculum in most master's degree programs in statistics and data science. In a single volume, this book updates both SAS(R) for Linear Models, Fourth Edition,

Mixed-Mode Modelling: Mixing Methodologi

📁 Mixed-Mode Modelling: Mixing Methodologies For Organisational Intervention

✍ Steve Clarke (auth.), Miles G. Nicholls, Steve Clarke, Brian Lehaney (eds.) 📂 Library 📅 2001 🏛 Springer US 🌐 English

The 1980s and 1990s have seen a growing interest in research and practice in the use of methodologies within problem contexts characterised by a primary focus on technology, human issues, or power. During the last five to ten years, this has given rise to challenges regarding the ability of a sin

Linear Mixed Models in Practice: A SAS-O

📁 Linear Mixed Models in Practice: A SAS-Oriented Approach

✍ Geert Verbeke, Geert Molenberghs (auth.) 📂 Library 📅 1997 🏛 Springer-Verlag New York 🌐 English

The dissemination of the MIXED procedure in SAS has provided a whole class of statistical models for routine use. We believe that both the ideas be hind the techniques and their implementation in SAS are not at all straight forward and users from various applied backgrounds, including the phar

SAS for Linear Models, Fourth Edition

📁 SAS for Linear Models, Fourth Edition

✍ Ramon Littell, Walter Stroup, Rudolf Freund 📂 Library 📅 2002 🏛 SAS Publishing 🌐 English

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 wi

A SAS/IML Companion for Linear Models

📁 A SAS/IML Companion for Linear Models

✍ Jamis J. Perrett (auth.) 📂 Library 📅 2010 🏛 Springer-Verlag New York 🌐 English

Linear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formul

A SAS/IML companion for linear models

📁 A SAS/IML companion for linear models

✍ Jamis J. Perrett (auth.) 📂 Library 📅 2010 🏛 Springer-Verlag New York 🌐 English

Linear models courses are often presented as either theoretical or applied. Consequently, students may find themselves either proving theorems or using high-level procedures like PROC GLM to analyze data. There exists a gap between the derivation of formulas and analyses that hide these formul