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

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9780761920847: An Introduction to Generalized Linear Models (Quantitative Applications in the Social Sciences)
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Book by Dunteman George Henry Ho MoonHo R

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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 toáGLM (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 connection between survival analysis and GLMáThis book is an ideal text for social science researchers who do not have a strong statistical background, but would like to learn more advanced techniques having taken an introductory course covering regression analysis.

Biografía del autor:

Prof. Ho's research concerns with the development and application of quantitative methods in the neural and behavioral sciences. His current research interests include effective connectivity analysis in fMRI experiments, social network analysis, statistical approach for testing mathematical axioms, diagnostics in nonlinear SEM.

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George Henry Dunteman, Moon-Ho R. Ho
Publicado por SAGE Publications Inc, United States (2005)
ISBN 10: 0761920846 ISBN 13: 9780761920847
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Descripción SAGE Publications Inc, United States, 2005. Paperback. Condición: New. Language: English . Brand New Book ***** Print on Demand *****.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 toaGLM (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 connection between survival analysis and GLMaThis book is an ideal text for social science researchers who do not have a strong statistical background, but would like to learn more advanced techniques having taken an introductory course covering regression analysis. Nº de ref. del artículo: AAV9780761920847

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Dunteman, George Henry
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Descripción SAGE Publications, Inc, 2005. PAP. Condición: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: IQ-9780761920847

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George Henry Dunteman, Moon-Ho R. Ho
Publicado por SAGE Publications Inc, United States (2005)
ISBN 10: 0761920846 ISBN 13: 9780761920847
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Descripción SAGE Publications Inc, United States, 2005. Paperback. Condición: New. Language: English . Brand New Book ***** Print on Demand *****. 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 toaGLM (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 connection between survival analysis and GLMaThis book is an ideal text for social science researchers who do not have a strong statistical background, but would like to learn more advanced techniques having taken an introductory course covering regression analysis. Nº de ref. del artículo: AAV9780761920847

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Dunteman, George Henry
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Descripción Sage Publications (CA) 9/22/2005, 2005. Paperback or Softback. Condición: New. An Introduction to Generalized Linear Models. Book. Nº de ref. del artículo: BBS-9780761920847

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Descripción SAGE Publications, Inc, 2018. Paperback. Condición: New. Never used! This item is printed on demand. Nº de ref. del artículo: 0761920846

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Descripción SAGE Publications, Inc, 2005. PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: LQ-9780761920847

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Dunteman, George H.
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Descripción SAGE Publications, Inc, 2016. Paperback. Condición: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Nº de ref. del artículo: ria9780761920847_lsuk

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George Henry Dunteman
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Descripción Sage Publications (CA). Paperback. Condición: New. 88 pages. Do you have data that is not normally distributed and dont 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 and demonstratethe similarity of various regression models to GLM. Each procedure is illustrated using real life data sets. The book 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 useSAS to fit GLM; and describes the connection between survival analysis and GLM. It isan ideal text for social science researchers who do not have a strong statistical background, but would like to learn more advanced techniques having taken an introductory course covering regression analysis. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Paperback. Nº de ref. del artículo: 9780761920847

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Dunteman, George Henry; Ho, Moon-Ho R.
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Descripción SAGE Publications, Inc, 2005. Paperback. Condición: New. Nº de ref. del artículo: INGM9780761920847

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