Generalized Linear Models | Agenda Bookshop Skip to content
A01=Jeff Gill
A01=Jefferson M. Gill
A01=Michelle Torres
A01=Silvia Michelle Torres Pacheco
Age Group_Uncategorized
Age Group_Uncategorized
Author_Jeff Gill
Author_Jefferson M. Gill
Author_Michelle Torres
Author_Silvia Michelle Torres Pacheco
automatic-update
Category1=Non-Fiction
Category=GPS
Category=JHBC
Category=JPA
Category=PBT
Category=PBW
COP=United States
Delivery_Delivery within 10-20 working days
eq_isMigrated=2
eq_non-fiction
eq_society-politics
Generalized linear models
Generalized Linear Models: A Unified Approach
Gill
Language_English
Linear models
PA=Available
Price_€20 to €50
PS=Active
QASS
Quantitative Applications in the Social Sciences
Second Edition
SN=Quantitative Applications in the Social Sciences
softlaunch

Generalized Linear Models

Generalized Linear Models: A Unified Approach provides an introduction to and overview of GLMs, with each chapter carefully laying the groundwork for the next. The Second Edition provides examples using real data from multiple fields in the social sciences such as psychology, education, economics, and political science, including data on voting intentions in the 2016 U.S. Republican presidential primaries. The Second Edition also strengthens material on the exponential family form, including a new discussion on the multinomial distribution; adds more information on how to interpret results and make inferences in the chapter on estimation procedures; and has a new section on extensions to generalized linear models.

Software scripts, supporting documentation, data for the examples, and some extended mathematical derivations are available on the authors’ websites as well as through the \texttt{R} package \texttt{GLMpack}. Supporting material (data and code) to replicate the examples in the book can be found in the ′GLMpack′ package on CRAN or on the website&


See more
€43.99
A01=Jeff GillA01=Jefferson M. GillA01=Michelle TorresA01=Silvia Michelle Torres PachecoAge Group_UncategorizedAuthor_Jeff GillAuthor_Jefferson M. GillAuthor_Michelle TorresAuthor_Silvia Michelle Torres Pachecoautomatic-updateCategory1=Non-FictionCategory=GPSCategory=JHBCCategory=JPACategory=PBTCategory=PBWCOP=United StatesDelivery_Delivery within 10-20 working dayseq_isMigrated=2eq_non-fictioneq_society-politicsGeneralized linear modelsGeneralized Linear Models: A Unified ApproachGillLanguage_EnglishLinear modelsPA=AvailablePrice_€20 to €50PS=ActiveQASSQuantitative Applications in the Social SciencesSecond EditionSN=Quantitative Applications in the Social Sciencessoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Weight: 230g
  • Dimensions: 139 x 215mm
  • Publication Date: 11 Jul 2019
  • Publisher: SAGE Publications Inc
  • Publication City/Country: US
  • Language: English
  • ISBN13: 9781506387345

About Jeff GillJefferson M. GillMichelle TorresSilvia Michelle Torres Pacheco

Jeff Gill is a Distinguished Professor of Government, a Professor of Statistics, and a Member of the Center for Behavioral Neuroscience at American University. His research applies Bayesian modeling and data analysis (decision theory, testing, model selection, elicited priors) to questions in general social science quantitative methodology, political behavior and institutions, medical/health data analysis especially physiology, circulation/blood, pediatric traumatic brain injury, and epidemiological measurement/data issues, using computationally intensive tools (Monte Carlo methods, MCMC, stochastic optimization, nonparametrics). Michelle Torres is Assistant professor in the Department of Political Science at Rice University. She holds a PhD in Political Science and a AM in Statistics from Washington University in St. Louis. Her research interests are in the fields of political methodology, with a special focus on survey methodology, computer vision, causal inference, public opinion, and political communication.

Customer Reviews

No reviews yet
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept