Smoothing Splines

Methods and Applications

von

Wang, Yuedong

BuchGebunden

Verkaufsrang16667inMathematik

CHF133.00

BuchabCHF73.90

E-BookCHF76.75

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Beschreibung

With many real-world examples, this book shows how to apply the powerful methods of smoothing splines in practice. It covers basic smoothing spline models as well as more advanced models, such as spline smoothing with correlated random errors. It also presents methods for model selection and inference. The author makes the advanced smoothing spline methodology based on reproducing kernel Hilbert space (RKHS) accessible to practitioners and students by keeping theory to a minimum. R is used throughout to implement the methods, with code available for download on the book's web page.

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Details

ISBN/GTIN978-1-4200-7755-1

ProduktartBuch

EinbandGebunden

VerlagTaylor and FrancisChapman and Hall/CRC

ErscheinungslandUSA

Erscheinungsdatum22.06.2011

Auflage1. A.

ReiheChapman & Hall/CRC Monographs on Statistics and Applied Probability

Seiten394 Seiten

SpracheEnglisch

MasseBreite 156 mm, Höhe 234 mm

Gewicht680 g

IllustrationenFarb., s/w. Abb.

Artikel-Nr.10369718

KatalogBuchzentrum

Datenquelle-Nr.8853746

WarengruppeMathematik

Weitere Details

Reihe

Covariance Modelling

Multivariate Geostatistical Models

Statistical Inference

Analysis of Survival Data

Density Estimation for Statistics and Data Analysis

Transformation and Weighting in Regression

Analysis of Infectious Disease Data

Analysis of Binary Data

Analysis of Repeated Measures

Inspection Errors for Attributes in Quality Control

Queues

Nonparametric Regression and Generalized Linear Models

Differential Geometry and Statistics

Markov Models & Optimization

Networks and Chaos - Statistical and Probabilistic Aspects

Practical Risk Theory for Actuaries

Number-Theoretic Methods in Statistics

Predictive Inference

Inference and Asymptotics

Kernel Smoothing

An Introduction to the Bootstrap

Statistics for Long-Memory Processes

Biplots

Cyclic and Computer Generated Designs

Nonlinear Models for Repeated Measurement Data

Distribution-Free Statistical Methods, Second Edition

Local Polynomial Modelling and Its Applications

Time Series Models

Multivariate Dependencies

Analysis of Incomplete Multivariate Data

Variance Components

Retrial Queues

Statistical Evidence

Stochastic Geometry

Classification

Statistical Aspects of BSE and vCJD

Set-Indexed Martingales

Algebraic Statistics

The Theory of the Design of Experiments

Analysis of Time Series Structure

Empirical Likelihood

Accelerated Life Models

Statistics in the 21st Century

Components of Variance

Subset Selection in Regression

Statistical Inference and Simulation for Spatial Point Processes

Diagnostic Checks in Time Series

Stereology for Statisticians

Gaussian Markov Random Fields

Measurement Error in Nonlinear Models

Nonlinear Time Series

Missing Data in Longitudinal Studies

Antedependence Models for Longitudinal Data

Circular and Linear Regression

Expansions and Asymptotics for Statistics

Simultaneous Inference in Regression

Robust Nonparametric Statistical Methods

Statistical Inference

Extreme Value Methods with Applications to Finance