Spline Models for Observational Data (C B M S - N S F REGIONAL CONFERENCE SERIES IN APPLIED MATHEMATICS) - Softcover

Wahba, Grace

9780898712445: Spline Models for Observational Data (C B M S - N S F REGIONAL CONFERENCE SERIES IN APPLIED MATHEMATICS)

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ISBN 10: 0898712440 ISBN 13: 9780898712445

Verlag: Society for Industrial & Applied Mathematics,U.S., 1990

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This book serves well as an introduction into the more theoretical aspects of the use of spline models.

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Verlag: Society for Industrial & Applied Mathematics,U.S.
Erscheinungsdatum: 1990
Sprache: Englisch
ISBN 10: 0898712440
ISBN 13: 9780898712445
Einband: Taschenbuch
Anzahl der Seiten: 180
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Spline Models for Observational Data (CBMS-NSF Regional Conference Series in Applied Mathematics)

Wahba, Grace

Verlag: SIAM: Society for Industrial and Applied Mathematics, 1990

ISBN 10: 0898712440 ISBN 13: 9780898712445

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

Wahba, Grace

Verlag: SIAM: Society for Industrial and, 1990

ISBN 10: 0898712440 ISBN 13: 9780898712445

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

Wahba, Grace

Verlag: SIAM: Society for Industrial and Applied Mathematics, 1990

ISBN 10: 0898712440 ISBN 13: 9780898712445

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Zustand: good. Gently used with minimal wear on the corners and cover. A few pages may contain light highlighting or writing, but the text remains fully legible. Dust jacket may be missing, and supplemental materials like CDs or codes may not be included. May be ex-library with library markings. Ships promptly! Bestandsnummer des Verk�ufers DBV.0898712440.G

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

Wahba, Grace

Verlag: SIAM: Society for Industrial and Applied Mathematics, 1990

ISBN 10: 0898712440 ISBN 13: 9780898712445

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Soft cover. Zustand: Very Good. Name on front inner cover. No underlining, notes or highlighting. c6. Bestandsnummer des Verk�ufers ABE-1768864006740

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

Wahba, Grace

Verlag: SIAM: Society for Industrial and Applied Mathematics, 1990

ISBN 10: 0898712440 ISBN 13: 9780898712445

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Spline Models for Observational Data

Wahba, G.

Verlag: Society For Industrial And Applied Mathematics, 1990

ISBN 10: 0898712440 ISBN 13: 9780898712445

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Zustand: Poor. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In poor condition, suitable as a reading copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,400grams, ISBN:0898712440. Bestandsnummer des Verk�ufers 2378771

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Spline Models for Observational Data

Grace Wahba

Verlag: Society for Industrial and Applied Mathematics (SIAM), 1990

ISBN 10: 0898712440 ISBN 13: 9780898712445

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000. Bestandsnummer des Verk�ufers FW-9780898712445

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Spline Models for Observational Data

Grace Wahba

Verlag: Society for Industrial and Applied Mathematics,U.S., US, 1990

ISBN 10: 0898712440 ISBN 13: 9780898712445

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Paperback. Zustand: New. This book serves well as an introduction into the more theoretical aspects of the use of spline models. It develops a theory and practice for the estimation of functions from noisy data on functionals. The simplest example is the estimation of a smooth curve, given noisy observations on a finite number of its values. The estimate is a polynomial smoothing spline. By placing this smoothing problem in the setting of reproducing kernel Hilbert spaces, a theory is developed which includes univariate smoothing splines, thin plate splines in d dimensions, splines on the sphere, additive splines, and interaction splines in a single framework. A straightforward generalization allows the theory to encompass the very important area of (Tikhonov) regularization methods for ill posed inverse problems.Convergence properties, data based smoothing parameter selection, confidence intervals, and numerical methods are established which are appropriate to a wide variety of problems which fall within this framework. Methods for including side conditions and other prior information in solving ill posed inverse problems are included. Data which involves samples of random variables with Gaussian, Poisson, binomial, and other distributions are treated in a unified optimization context. Experimental design questions, i.e., which functionals should be observed, are studied in a general context. Extensions to distributed parameter system identification problems are made by considering implicitly defined functionals. Bestandsnummer des Verk�ufers LU-9780898712445

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