Springer Series in Statistics Maximum Penalized Likelihood Estimation

Type

Book

Authors

Eggermont ( Eggermont, P.P.B. )

LaRiccia ( LaRiccia, V.N. )

ISBN 13

9780387402673

Tags

Econometrics, Computer Vision & Pattern Recognition, Security & Encryption, Electronics, Biological Sciences, Probability & Statistics, Number Systems, Counting & Numeration, Medical Books, Economics, Computer Science, General, Biology & Life Sciences, Statistics

Series Name

Springer Series in Statistics

Description

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. - from Amzon

Number of Copies