Generalized linear mixed models : modern concepts, methods and applications

Resource Information

The work Generalized linear mixed models : modern concepts, methods and applications represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.

Label

Generalized linear mixed models : modern concepts, methods and applications

Title remainder

modern concepts, methods and applications

Statement of responsibility

Walter W. Stroup

Creator

• Stroup, Walter W., (Walter Whitney)

Subject

• Linear models (Statistics)
• MATHEMATICS / Probability & Statistics / General

Language

eng

Summary

"Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider. Along with describing common applications of GLMMs, the text introduces the essential theory and main methodology associated with linear models that accommodate random model effects and non-Gaussian data. Unlike traditional linear model textbooks that focus on normally distributed data, this one adopts a generalized mixed model approach throughout: data for linear modeling need not be normally distributed and effects may be fixed or random. With numerous examples using SAS® PROC GLIMMIX, this book is ideal for graduate students in statistics, statistics professionals seeking to update their knowledge, and researchers new to the generalized linear model thought process. It focuses on data-driven processes and provides context for extending traditional linear model thinking to generalized linear mixed modeling"--

Member of

• Texts in statistical science

Assigning source

Provided by publisher

Cataloging source

DLC

Dewey number

519.5/36

Illustrations

illustrations

Index

index present

LC call number

QA279

LC item number

.S78 2013

Literary form

non fiction

Nature of contents

bibliography

Series statement

Chapman & Hall/CRC texts in statistical science series