Nonparametric Regression Appendix to An R and S-PLUS Companion to Applied Regression

By John Fox. 2002

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New approaches to regression by generalized additive models and continuous optimization for modern applications in finance, science and technology (2007, methodology): “To characterize this effects, flexible statistical methods like non-parametric regression must be used (Fox 2002 [9]).”
The double ITCZ bias in CMIP5 models: interaction between SST, large-scale circulation and precipitation (2015, methodology): “The relationship between residuals and leverage is highlighted through a LOESS curve (LOcal regrESSion,2 Fox 2002).”
Prior to reshoring: A duration analysis of foreign manufacturing ventures (2015, unknown): “conditional on survival to that time (Fox, 2002).”
Sequential parameter optimization (2005, background): “Added-variable plots focus on one variable at a time and take into account the inuence of the other predictors (Draper and Smith, 1998; Fox, 2002 ).”
His and Her Perspectives: Gender Ideology, Work-to-Family Conflict, and Marital Satisfaction (2010, methodology): “The models showed no symptoms of multicollinearity, with all variance inflation factors less than 2. Upon running the models, diagnostic plots were examined, with an emphasis on added-variable plots (also known as partial-regression plots; Fox 2002 , p . 200) and partial residual plots (Faraway 200”
Ecology of butterflies in Europe (2009, methodology): “10/22 data (Nicholls, 1989; Harrell, 2001; Fox, 2002).”