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Practical Smoothing

This is a practical guide to P-splines, a simple, flexible and powerful tool for smoothing. P-splines combine regression on B-splines with;

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Smoothing Splines

years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic;

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Smoothing Splines

years and has been widely used in many application areas, from medicine to economics. Smoothing Splines: Methods and Applications covers basic;

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Spline Models for Observational Data

of reproducing kernel Hilbert spaces, a theory is developed which includes univariate smoothing splines, thin plate splines in d dimensions, splines on;

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Spline and Spline Wavelet Methods with Applications to Signal and Image Processing: Volume II

addressed in this volume include: global splines, such as interpolating, self-dual and smoothing, whose supports are infinite; the compactly;

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Nonparametric Regression and Spline Smoothing

asymptotic properties of linear smoothing splines.;

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Nonparametric Regression and Spline Smoothing

asymptotic properties of linear smoothing splines.;

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Spline and Spline Wavelet Methods with Applications to Signal and Image Processi

. In particular, interpolating, smoothing, and shift-orthogonal splines are presented.;

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Econometric Society Monographs

exposition, various other smoothing methods (among them splines and orthogonal polynomials) are presented and their merits discussed. All the methods;

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Splines And Compartment Models

Smoothing Natural Cubic Splines and the Choice of the Smoothing Parameter

Control Theoretic Splines

Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these;

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Bezier and Splines in Image Processing and Machine Vision

This book deals with various image processing and machine vision problems efficiently with splines and includes: the significance;

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Curves and Surfaces

, geometry processing, image and signal processing, interpolation and smoothing, mesh generation, finite elements and splines, scattered data;

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Extremal Properties of Polynomials & Splines

Extremal Properties of Polynomials & Splines;

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A Practical Guide to Splines

This book is based on the author's experience with calculations involving polynomial splines, presenting those parts of the theory;

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Zweidimensionale, Interpolierende Lg-Splines Und Ihre Anwendungen

Zweidimensionale, Interpolierende Lg-Splines Und Ihre Anwendungen is een boek van K -U Grusa;

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Approximation by Spline Functions

Splines play an important role in applied mathematics since they possess high flexibility to approximate efficiently, even nonsmooth;

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Periodiske B-Splines

This volume represents an introduction to periodical B splines with emphasis on the Oslo algorithm and reflection on applications within;

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Approximation with Quasi-Splines

In the theory of splines, a function is approximated piece-wise by (usually cubic) polynomials. Quasi-splines is the natural extension;

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The GETMe Mesh Smoothing Framework

Laplacian smoothing, with a high computational efficiency but possible low resulting mesh quality, to global optimization-based methods, resulting;

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The GETMe Mesh Smoothing Framework

Laplacian smoothing, with a high computational efficiency but possible low resulting mesh quality, to global optimization-based methods, resulting;

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Cambridge Series in Statistical and Probabilistic Mathematics

examples are given, including the Grenander estimator, estimation of functions of bounded variation, smoothing splines, partially linear models;

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Interpolation and Approximation with Splines and fractals

This textbook is intended to supplement the classical theory of uni- and multivariate splines and their approximation and interpolation;

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Nonparametric Econometric Methods

copulas, series estimators, and smoothing splines along with a variety of semiparametric methods. The papers in this Volume cover topics;

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Kernel Smoothing

Kernel smoothing refers to a general methodology for recovery of underlying structure in data sets.The basic principle is that local;

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Splines and PDEs: From Approximation Theory to Numerical Linear Algebra

of PDEs based on splines, and in particular isogeometric methods. A wide variety of research topics are covered, ranging from approximation;

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Smoothing . KONSTANTIN, CD

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