Maximum Penalized Likelihood Estimation

Maximum Penalized Likelihood Estimation

Paul P. Eggermont / Vincent N. LaRiccia

193,96 €
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Editorial:
Springer Nature B.V.
Año de edición:
2011
Materia
Probabilidad y estadística
ISBN:
9781461417125
193,96 €
IVA incluido
Disponible

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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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Otros libros del autor

  • Maximum Penalized Likelihood Estimation
    Paul P. Eggermont / Vincent N. LaRiccia
    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 algo...