The general linear model : a primer / Alexander von Eye, Michigan State University, Wolfgang Wiedermann, University of Missouri.

Format:

Book

Author/Creator:

Eye, Alexander von, author.

Wiedermann, Wolfgang, 1981- author.

Language:

English

Subjects (All):

Linear models (Statistics).

Social sciences--Statistical methods.

Social sciences.

Statistics.

Physical Description:

1 online resource (xiv, 175 pages) : digital, PDF file(s).

Place of Publication:

Cambridge, United Kingdom ; New York, NY : Cambridge University Press, 2023.

Summary:

General Linear Model methods are the most widely used in data analysis in applied empirical research. Still, there exists no compact text that can be used in statistics courses and as a guide in data analysis. This volume fills this void by introducing the General Linear Model (GLM), whose basic concept is that an observed variable can be explained from weighted independent variables plus an additive error term that reflects imperfections of the model and measurement error. It also covers multivariate regression, analysis of variance, analysis under consideration of covariates, variable selection methods, symmetric regression, and the recently developed methods of recursive partitioning and direction dependence analysis. Each method is formally derived and embedded in the GLM, and characteristics of these methods are highlighted. Real-world data examples illustrate the application of each of these methods, and it is shown how results can be interpreted.

Notes:

Title from publisher's bibliographic system (viewed on 15 Jun 2023).

Other Format:

Print version:

ISBN:

9781009322164 (ebook)

Access Restriction:

Restricted for use by site license.