Nonparametric Regression and Spline Smoothing: 157 (Statistics: A Series of Textbooks and Monographs) - Image 1

£133.40

CRC Press Nonparametric Regression and Spline Smoothing: 157 (Statistics: A Series of Textbooks and Monographs)

Name: Nonparametric Regression and Spline Smoothing: 157 (Statistics: A Series of Textbooks and Monographs)
Brand: CRC Press
Price: 133.4 GBP
Availability: InStock

Education

Price History & Forecast

Last 66 days • 66 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 66 days • 1 price levels

Days at Price

Price Analysis

Most common price: £133 (66 days, 100.0%)

Price range: £133 - £133

Price levels: 1 different prices over 66 days

Description

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; local polynomial regression; and form and asymptotic properties of linear smoothing splines.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 0824793374
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education
Domain: Amazon UK
Release Date: 09 February 1999
Listed Since: 05 February 2007

Barcode

No barcode data available

CRC Press Nonparametric Regression and Spline Smoothing: 157 (Statistics: A Series of Textbooks and Monographs)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Nonparametric Regression and Generalized Linear Models: A roughness penalty approach (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Nonparametric and Semiparametric Models (Springer Series in Statistics)

Practical Smoothing: The Joys of P-splines

Introduction to Nonparametric Regression (Wiley Series in Probability and Statistics)

Nonparametric Regression Methods for Longitudinal Data Analysis: Mixed-Effects Modeling Approaches (Wiley Series in Probability and Statistics)

Nonlinear Statistical Models: 254 (Mathematics and Its Applications, 254)

Local Polynomial Modelling and Its Applications: Monographs on Statistics and Applied Probability 66 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Local Regression and Likelihood (Statistics and Computing)

Nonlinear Statistical Models: 254 (Mathematics and Its Applications, 254)

A Distribution-Free Theory of Nonparametric Regression (Springer Series in Statistics)

Nonlinear Statistical Models: 75 (Wiley Series in Probability and Statistics)

Semiparametric Regression with R (Use R!)

Nonlinear Regression: 503 (Wiley Series in Probability and Statistics)

Spline Models for Observational Data: Series Number 59 (CBMS-NSF Regional Conference Series in Applied Mathematics, Series Number 59)

SAS System for Regression

Smoothing Splines: Methods and Applications (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Smoothing of Multivariate Data: Density Estimation and Visualization (Wiley Series in Probability and Statistics)

Semiparametric Regression (Cambridge Series in Statistical and Probabilistic Mathematics): 12 (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 12)

Flexible Regression and Smoothing: Using GAMLSS in R (Chapman & Hall/CRC The R Series)

Design of Experiments in Nonlinear Models: Asymptotic Normality, Optimality Criteria and Small-Sample Properties: 212 (Lecture Notes in Statistics, 212)

Applied Regression Analysis: 326 (Wiley Series in Probability and Statistics)

Nonlinear Regression Analysis and Its Applications

Smoothing Splines: Methods and Applications: 121 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Statistical Regression Modeling with R: Longitudinal and Multi-level Modeling (Emerging Topics in Statistics and Biostatistics)