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Nonparametric Regression and Spline Smoothing

Nonparametric Regression and Spline Smoothing

Randall L. Eubank

90,29 €
IVA incluido
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Editorial:
Taylor & Francis Ltd
Año de edición:
2020
Materia
Probabilidad y estadística
ISBN:
9780367579210
90,29 €
IVA incluido
Disponible

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Sobre IBD

Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions of boundary corrections for trigonometric series estimators; detailed asymptotics for polynomial regression; testing goodness-of-fit; estimation in partially linear models; practical aspects, problems and methods for co

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Otros libros del autor

  • A Kalman Filter Primer
    Randall L. Eubank
    This text provides a self-contained, "no frills," mathematically rigorous derivation from first principles of all basic Kalman filter recursions. This approach relies on a pared-down version of more general state-space models found most often in the literature. Such simplification saves notational complexity without sacrificing conceptual understanding. The rigor found in the b...
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  • A Kalman Filter Primer
    Randall L. Eubank
    This text provides a self-contained, "no frills," mathematically rigorous derivation from first principles of all basic Kalman filter recursions. This approach relies on a pared-down version of more general state-space models found most often in the literature. Such simplification saves notational complexity without sacrificing conceptual understanding. The rigor found in the b...
  • Nonparametric Regression and Spline Smoothing
    Randall L. Eubank
    Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions of boundary corrections for trigonometric series estimators; detailed asymptotics for polynomial regression; testing goodness-of-fit; estimation in partially linear models; practical aspects, problems and methods for confidence intervals and bands; ...