P(enalized)-splines and fractional polynomials (FPs) have emerged as powerful smoothing techniques with increasing … restricted maximum likelihood (REML) for smoothing parameter selection. We evaluated the ability of P-splines and FPs to recover … in most simulation settings. FPs however, are prone to artefacts due to the specific choice of the origin, while P …

features of the approaches in a real dataset. -- generalized additive models ; GAMs ; simulation ; smoothing …P(enalized)-splines and fractional polynomials (FPs) have emerged as powerful smoothing techniques with increasing … restricted maximum likelihood (REML) for smoothing parameter selection. We evaluated the ability of P-splines and FPs to recover …

based on local smoothing and an empirical process, respectively. Residual-based wild bootstrap versions of these two test … specification testing of the production frontier function even under heteroscedasticity. Simulation studies and a real data example …