Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and …
Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experim…
This book guides readers through conventional statistical concepts and how tot interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA.
This textbook describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. It blends both theory and application to equip the reader with an understanding of the basic principles necessary to …
"Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of 'Applied Regression Analysis and Generalized Linear Models' provides in-depth coverage of regression analysis, generalized linear models, and closely related …
An outline of generalized linear models; Models for continuous data with constant variance; Binary data; Models for polytomous data; Log-linear models; Conditional likelihoods; Models with constant coefficient of variation; Quasi-likelihood functions; Joint modelling of mean and…