Results 221 to 230 of about 60,902 (256)
Some of the next articles are maybe not open access.
2001
The multiple linear regression model discussed in Chapter 8 and the generalized linear model covered in Chapters 9 and 10 accommodate nonlinear relationships between the response variable (or the link function of its mean) and one or more of the explanatory variables by using polynomial terms or parametric transformations. (The predictor remains linear
Brian Everitt, Sophia Rabe-Hesketh
openaire +1 more source
The multiple linear regression model discussed in Chapter 8 and the generalized linear model covered in Chapters 9 and 10 accommodate nonlinear relationships between the response variable (or the link function of its mean) and one or more of the explanatory variables by using polynomial terms or parametric transformations. (The predictor remains linear
Brian Everitt, Sophia Rabe-Hesketh
openaire +1 more source
Feature significance in generalized additive models
Statistics and Computing, 2007This paper develops inference for the significance of features such as peaks and valleys observed in additive modeling through an extension of the SiZer-type methodology of Chaudhuri and Marron (1999) and Godtliebsen et al. (2002, 2004) to the case where the outcome is discrete.
B. Ganguli, Matt P. Wand
openaire +1 more source
Generalized additive models for functional data
TEST, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Febrero-Bande, Manuel +1 more
openaire +1 more source
On A General Fuzzy Additive Clustering Model
Intelligent Automation & Soft Computing, 1995ABSTRACTThe purpose of this article is to define a generalized structural model of similarity between a pair of objects. Applying a classification of a given data set as a structural model, we have developed an additive fuzzy clustering model.7,8 The essential merits of the additive fuzzy clustering models are 1) the amount of computations for the ...
Mika Sato, Yoshiharu Sato
openaire +1 more source
2003
The models fit in Chap. 2 have two limitations. First, the conditional distribution of the response, given the predictors, is assumed to be Gaussian. Second, only a single predictor is allowed to have a smooth nonlinear effect—the other predictors are modeled linearly.
openaire +1 more source
The models fit in Chap. 2 have two limitations. First, the conditional distribution of the response, given the predictors, is assumed to be Gaussian. Second, only a single predictor is allowed to have a smooth nonlinear effect—the other predictors are modeled linearly.
openaire +1 more source
Generalized Additive Models; Some Applications
Journal of the American Statistical Association, 1985Abstract Generalized additive models have the form η(x) = α + σ fj (x j ), where η might be the regression function in a multiple regression or the logistic transformation of the posterior probability Pr(y = 1 | x) in a logistic regression. In fact, these models generalize the whole family of generalized linear models η(x) = β′x, where η(x) = g(μ(x ...
Trevor Hastie, Robert Tibshirani
openaire +1 more source
Generalized additive models for medical research
Statistical Methods in Medical Research, 1995This article reviews flexible statistical methods that are useful for characterizing the effect of potential prognostic factors on disease endpoints. Applications to survival models and binary outcome models are illustrated.
T, Hastie, R, Tibshirani
openaire +2 more sources
Additive and generalized additive models: A survey [PDF]
, 1998 This paper is the attempt to summarize the state of art in additive and generalized additive models (GAM). The emphasis is on approaches and numerical procedures which have emerged since the monograph of Hastie and Tibshirani (1990) although reconsidering certain aspects of their work.
Schimek, Michael G., Turlach, Berwin A.
openaire +1 more source
Generalized Additive Models: An Introduction With R
Technometrics, 2007(2007). Generalized Additive Models: An Introduction With R. Technometrics: Vol. 49, No. 3, pp. 360-361.
openaire +1 more source