An Introduction to Generalized Linear Models (Quantitative Applications in the Social Sciences)
Publisher: Sage Publications, Inc
Published: September 22, 2005
Language: eng
Format: Paperback
Number of pages: 88
ISBN-13: 9780761920847
Subjects: Social research & statistics; Research; Mathematics; Sociology; Science/Mathematics; Probability & Statistics - General; Social Science / Research; Mathematical models; Linear models (Statistics); Regression analysis
Description: "Do you have data that is not normally distributed and don't know how to analyze it using generalized linear models (GLM)? Beginning with a discussion of fundamental statistical modeling concepts in a multiple regression framework, the authors extend these concepts to GLM (including Poisson regression. logistic regression, and proportional hazards models) and demonstrate the similarity of various regression models to GLM. Each procedure is illustrated using real life data sets, and the computer instructions and results will be presented for each example. Throughout the book, there is an emphasis on link functions and error distribution and how the model specifications translate into likelihood functions that can, through maximum likelihood estimation be used to estimate the regression parameters and their associated standard errors. This book provides readers with basic modeling principles that are applicable to a wide variety of situations."--pub. desc.