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Can I read An Introduction to Generalized Linear Models (Quantitative Applications in the Social Sciences) on EtoBox?

An Introduction to Generalized Linear Models (Quantitative Applications in the Social Sciences) by George Henry Dunteman, Dr. Moon-Ho R. Ho is a nonfiction available to read on EtoBox.

What is An Introduction to Generalized Linear Models (Quantitative Applications in the Social Sciences) about?

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.Key Features:- Provides an accessible but thorough introduction to GLM, exponential family distribution, and maximum likelihood estimation- Includes discussion on checking model adequacy and description on how to use SAS to fit GLM- Describes the

Who reads An Introduction to Generalized Linear Models (Quantitative Applications in the Social Sciences)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
George Henry Dunteman, Dr. Moon-Ho R. Ho
Publisher
SAGE Publications, Incorporated
Published
2005
Language
EN
ISBN
9781506320748
Category
nonfiction
Subjects
Mathematics, Social Science, Science

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