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e-Book Nonparametric Regression and Spline Smoothing (Statistics:  A Series of Textbooks and Monographs) epub download

e-Book Nonparametric Regression and Spline Smoothing (Statistics: A Series of Textbooks and Monographs) epub download

Author: Randall L. Eubank
ISBN: 0824793374
Pages: 360 pages
Publisher: CRC Press; 2 edition (February 9, 1999)
Language: English
Category: Mathematics
Size ePUB: 1539 kb
Size Fb2: 1244 kb
Size DJVU: 1248 kb
Rating: 4.4
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Subcategory: Science

e-Book Nonparametric Regression and Spline Smoothing (Statistics: A Series of Textbooks and Monographs) epub download

by Randall L. Eubank



Series: Statistics: A Series of Textbooks and Monographs (Book 157). See and discover other items: logistic regression, nonparametric statistics.

Series: Statistics: A Series of Textbooks and Monographs (Book 157). Hardcover: 360 pages.

This monograph is based on a series of 10 lectures at Ohio State University at Columbus, March 23–27, 1987, sponsored by the Conference .

This monograph is based on a series of 10 lectures at Ohio State University at Columbus, March 23–27, 1987, sponsored by the Conference Board of the Mathematical Sciences and the National Science Foundation. The selection of topics is quite personal and, together with the talks of the other speakers, the lectures represent a story, as I saw it in March 1987, of many of the interesting things that statisticians can do with splines.

When someone says they have performed regression analysis this usually conjures up visions of estimated regression coefficients, residual plots, et. which have been obtained by fitting a linear model to a set of data.

Spline Smoothing and Nonparametric Regression, Randall L. Eubank 9.

Start by marking Spline Smoothing and Nonparametric Regression (Statistics, a Series of Textbooks and Monographs) as Want to Read: Want to Read savin. ant to Read.

This textbook for a graduate level introductory course on data smoothing covers series estimators, kernel estimators, smoothing splines, and least-squares splines.

Other books in this series. Handbook of Parallel Computing and Statistics. Journal of the American Statistical Association. Erricos John Kontoghiorghes. Eubank's effort is highly tractable and contains many pragmatic tips without unduly sacrificing theoretical rigor.

Nonparametric Regression and Spline Smoothing The book explains and compares estimators analytically as well as numerically.

Nonparametric Regression and Spline Smoothing. By Randall L. Eubank. Offers a treatment of different kinds of James-Stein and ridge regression estimators from a frequentist and Bayesian point of view. The book explains and compares estimators analytically as well as numerically and includes Mathematica and Maple programs used in numerical comparison. College o. ardback – 1998-02-26 CRC Press Statistics: A Series of Textbooks and Monographs.

Nonparametric regression is a category of regression analysis in which the predictor does not take a predetermined form but is constructed according to information derived from the data.

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.