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Maximum Penalized Likelihood Estimation

Volume II: Regression

Paperback Engels 2011 2009e druk 9781461417125
€ 156,99
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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

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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.

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€ 156,99
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        Maximum Penalized Likelihood Estimation