Spline Models for Observational Data is popular PDF and ePub book, written by Grace Wahba in 1990-09-01, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Spline Models for Observational Data can be Read Online from any device for your convenience.
Spline Models for Observational Data Book PDF Summary
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.
Detail Book of Spline Models for Observational Data PDF
- Author : Grace Wahba
- Release : 01 September 1990
- Publisher : SIAM
- ISBN : 9780898712445
- Genre : Mathematics
- Total Page : 174 pages
- Language : English
- PDF File Size : 18,6 Mb
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