
John Fox
introduces readers to the techniques of kernel estimation, additive nonparametric regression, and the ways nonparametric regression can be employed to select transformations of the data preceding a linear least-squares fit.Nous publions uniquement les avis qui respectent les conditions requises. Consultez nos conditions pour les avis.