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

Mar 18, 2013 - First logistic regression model. 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. Feb 2, 2014 - Generalized Additive Model (GAM) and Linear Models · 2 Feb · http://www.youtube.com/watch?v=nXDYapfalt4 Tags: GAM, generalized additive model, non-linear. Jan 27, 2009 - In most livestock selection schemes, however, the breeding values, defined as the sum of the additive effects [6], are in general the most important. Comments Leave a Comment; Categories Generalized Additive Model. The ready availability of good GLM software and the interpretability of the results logistic regression makes it a Generalized Additive Models, GAMS,generalize GLMs. Gam provides functions to fit the Generalized Additive Model; gamm4 fits mixed GAMs. Model comparison test detects significant mis-specification. It has taken a while but our 'Beginner's Guide to Generalized Additive Mixed Models with R' is finally available as paperback and EBook from www.highstat.com. Apr 3, 2014 - by Joseph Rickert Generalized Linear Models have become part of the fabric of modern statistics, and logistic regression, at least, is a “go to” tool for data scientists building classification applications. Finding predicted probabilities and confidence intervals for them. Comparison to spline smoothing and a generalized additive model. May 17, 2014 - New book: Beginner's Guide to GAMM with R. Oct 28, 2013 - At the individual level Generalized Linear Models (GLMs), Generalized Additive Models (GAMs), and Spatial Logistic Regression Models are compared.