The author explains the theoretical underpinnings of generalized linear models so that researchers can decide how to select the best way to adapt their data for this type of analysis. Examples are provided to illustrate the application of GLM to actual data and the author includes his Web address where additional resources can be found.
"Sinopsis" puede pertenecer a otra edición de este libro.
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).
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 16,09 gastos de envío desde Estados Unidos de America a España
Destinos, gastos y plazos de envíoLibrería: Better World Books, Mishawaka, IN, Estados Unidos de America
Condición: Good. 1st Edition. Used book that is in clean, average condition without any missing pages. Nº de ref. del artículo: 5725786-6
Cantidad disponible: 2 disponibles
Librería: Better World Books, Mishawaka, IN, Estados Unidos de America
Condición: Good. 1st Edition. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages. Nº de ref. del artículo: 11993552-6
Cantidad disponible: 1 disponibles