Beschreibung
The statistical and mathematical principles of smoothing with a focus on applicable techniques are presented in this book. It naturally splits into two parts: The first part is intended for undergraduate students majoring in mathematics, statistics, econometrics or biometrics whereas the second part is intended to be used by master and PhD students or researchers. The material is easy to accomplish since the e-book character of the text gives a maximum of flexibility in learning (and teaching) intensity.
Inhaltsverzeichnis
InhaltsangabeIntroduction.- Histogram.- Nonparametric Density Estimation.- Nonparametric Regression.- Semiparametric and Generalized Regression Models.- Single Index Models.- Generalized Partial Linear Models.- Additive Models and Marginal Effects.- Generalized Additive Models.