著者

辻谷 将明 外山 信夫

出版者

日本行動計量学会

雑誌

行動計量学 (ISSN:03855481)

巻号頁・発行日

vol.34, no.1, pp.111-131, 2007-03-28

被引用文献数

2 2

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This article presents an introduction to generalized additive models using R for data of mutually exclusive groups and a set of predictor variables. Illustrated herein are a number of resampling methods, that is cross-validation when selecting the optimum smoothing parameter, and bootstrapping applications that implement the bootstrap-based information when using the deviance in order to summarize the measure of goodness-of-fit on generalized additive models. The cross-validation is also adapted for influential analysis in order to verify the appropriateness of the model and to detect observations that do not agree with the rest of the data.