Generalized Additive Models R.J. Tibshirani, T.J. Hastie
Publisher: Chapman and Hall/CRC

Generalized Additive Models: An Introduction with R. 8.5 Classification and regression trees 166. May 7, 2013 - The basic idea of the present study is to use a logistic regression model and a generalized additive model with -splines to estimate the survival function. 9 Vegetation change in time 185. Jul 31, 2009 - We expand on this literature by proposing an application of generalized additive models to estimate nonlinear heterogeneous treatment effects. Feb 10, 2009 - This case-control study provided detailed information on individual-level covariates and residential history that can be spatially analyzed using generalized additive models (GAMs) and geographical information systems (GIS). 8.7 Modelling vegetation types 171. May 15, 2013 - 8.4 Generalized additive models 164. ȯ书不错，不知谁可共享？谢谢! 8.8 Expected wetland vegetation (example) 176. April 2014 Application of generalized additive models to examine ontogenetic and seasonal distributions of spiny dogfish (Squalus. Chapman and Hall/CRC Press, Boca Raton, Florida, 2006. Feb 16, 2012 - I gave a lecture yesterday as part of Chris' computational neuroscience class on generalized linear and additive models (GLMs and GAMs) and their application to neuroscience. May 2, 2012 - I've been fitting some time series data using a Poisson general additive model using SAS's PROC GAM . Aug 11, 2011 - In this study, a geo-additive model is proposed to understand the dependence of malaria cases on spatial effects and climatic covariates including rainfall, maximum and minimum temperature, maximum and minimum humidity in Burundi. Jan 20, 2010 - Design: In a cross-sectional study of 357 Yup'ik Eskimos, generalized additive models were used to plot covariate-adjusted associations of EPA and DHA with chronic disease biomarkers. Apr 10, 2014 - Published online on 10. Dec 5, 2010 - Luckily, R has a package called 'gam' (Generalized Additive Models) that allows us to fit a loess regression using the binomial family and a logit link function similar to the glm package. Based on the Akaike information criterion (AIC) using the algorithm described in [23], the following generalized additive mixed model (GAMM) [24] was proposed to assess the dependence of malaria cases on climatic variables. Oct 17, 2012 - In addition, the text covers S software for particular kinds of statistical models, including linear models, nonlinear models, generalized linear models, local-polynomial regression models, and generalized additive models.