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Generalized Additive Models book

Generalized Additive Models book

Generalized Additive Models. R.J. Tibshirani, T.J. Hastie

Generalized Additive Models


Generalized.Additive.Models.pdf
ISBN: 0412343908,9780412343902 | 175 pages | 5 Mb


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




May 9, 2014 - In previous posts I have looked at how generalized additive models (GAMs) can be used to model non-linear trends in time series data. Generalized linear models (GLMs) extend linear regression to models with a non-Gaussian, or even discrete, response. Mar 28, 2012 - Generalized linear models (GLMs) may be extended by programming one. 18.3 Generalized additive models. Jan 1, 2011 - The relationships have been quantified after controlling for long-term trends, seasonality, weekly emissions, spatial variation, and temporal persistence using the framework of a generalized additive modelling (GAM). Apr 10, 2013 - In this study of landslides in Lower Austria, we focus on the model form uncertainty to assess the quality of a flexible statistical modelling technique, the generalized additive model (GAM). May 25, 2012 - The Generalized Additive Models: An Introduction with R (Chapman & Hall/CRC Texts in Statistical Science) is the best one for people. Jan 28, 2013 - “Generalized” is generally a promising word for field biologists in statistics: it means that your data don't have to be a perfect bell curve for the test to work. Generalized linear mixed effects models. Jul 13, 2012 - The methods available in Generalized Additive Models are implementations of techniques developed and popularized by Hastie and Tibshirani (1990).

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