This book covers basic nonparametric spline models, such as polynomial spline, periodic spline, thin-plate spline, L- spline, partial spline, and smoothingspline ANOVA for both Gaussian data and data from exponential families. It also presents smoothing spline models with unequal variance and correlated random errors as well as advanced models, including semiparametric linear and nonlinear mixed-effects models and nonparametric and semiparametric nonlinear regression models. In addition, the author describes vector spline models for multivariate observations and functional linear models.
- ISBN: 978-1-4200-7755-1
- Editorial: Chapman and Hall/CRC
- Encuadernacion: Cartoné
- Fecha Publicación: 15/06/2011
- Nº Volúmenes: 1
- Idioma: Inglés