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Maximum Penalized Likelihood Estimation - Volume II: Regression (Hardcover, 2009 ed.) Loot Price: R5,461
Discovery Miles 54 610
Repayment Terms: R512 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 R5,461 Discovery Miles 54 610 | Repayment Terms: R512 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
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LSN: 0-387-40267-5
Barcode: 9780387402673

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