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Viac informácií o knihe Spline Models for Observational Data

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Anotácia knihy

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. Convergence properties, data based smoothing parameter selection, confidence intervals, and numerical methods are established which are appropriate to a number of problems within this framework. Methods for including side conditions and other prior information in solving ill posed inverse problems are provided. 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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Mathematics & science Mathematics

• Celý názov: Spline Models for Observational Data
• Autor: Grace Wahba
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 181
• EAN: 9780898712445
• ISBN: 0898712440
• ID: 02050011
• Nakladateľ: Society for Industrial & Applied Mathematics,U.S.
• Hmotnosť: 321 g
• Rozmery: 252 × 174 × 12 mm
• Dátum vydania: 01. September 1990

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