Paul P. Eggermont,
Vincent N. LaRiccia
Springer New York
2009e druk, 2011
9781461417125
Maximum Penalized Likelihood Estimation
Volume II: Regression
Specificaties
Paperback, 572 blz.
|
Engels
Springer New York |
2009e druk, 2011
ISBN13: 9781461417125
Rubricering
Onderdeel van serie
Springer Series in Statistics
Levertijd ongeveer 8 werkdagen
Samenvatting
Unique blend of asymptotic theory and small sample practice through simulation experiments and data analysis.
Novel reproducing kernel Hilbert space methods for the analysis of smoothing splines and local polynomials. Leading to uniform error bounds and honest confidence bands for the mean function using smoothing splines
Exhaustive exposition of algorithms, including the Kalman filter, for the computation of smoothing splines of arbitrary order.
Specificaties
ISBN13:9781461417125
Taal:Engels
Bindwijze:paperback
Aantal pagina's:572
Uitgever:Springer New York
Druk:2009
Inhoudsopgave
Nonparametric Regression.- Smoothing Splines.- Kernel Estimators.- Sieves.- Local Polynomial Estimators.- Other Nonparametric Regression Problems.- Smoothing Parameter Selection.- Computing Nonparametric Estimators.- Kalman Filtering for Spline Smoothing.- Equivalent Kernels for Smoothing Splines.- Strong Approximation and Confidence Bands.- Nonparametric Regression in Action.