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Maximum Penalized Likelihood Estimation - Volume II: Regression (Hardcover, 2009 ed.) Loot Price: R5,923

Discovery Miles 59 230

Repayment Terms: R555 pm x 12*

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Maximum Penalized Likelihood Estimation - Volume II: Regression (Hardcover, 2009 ed.): Paul P. Eggermont, Vincent N. Lariccia

Maximum Penalized Likelihood Estimation - Volume II: Regression (Hardcover, 2009 ed.)

Paul P. Eggermont, Vincent N. Lariccia

Series: Springer Series in Statistics

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Loot Price R5,923 Discovery Miles 59 230 | Repayment Terms: R555 pm x 12*

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Unique blend of asymptotic theory and small sample practice through simulation experiments and data analysis.

Novel reproducing kernel Hilbert space methods for the analysis of smoothing splines and local polynomials. Leading to uniform error bounds and honest confidence bands for the mean function using smoothing splines

Exhaustive exposition of algorithms, including the Kalman filter, for the computation of smoothing splines of arbitrary order.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Series in Statistics
Release date:	July 2009
First published:	July 2009
Authors:	Paul P. Eggermont • Vincent N. Lariccia
Dimensions:	235 x 155 x 46mm (L x W x T)
Format:	Hardcover
Pages:	572
Edition:	2009 ed.
ISBN-13:	978-0-387-40267-3
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > Applications of computing > Pattern recognition Books > Business & Economics > Economics > Econometrics > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	0-387-40267-5
Barcode:	9780387402673