Total Least Squares and Errors-in-Variables Modeling - gebunden oder broschiert

EAN (ISBN-13): 9781402004766
ISBN (ISBN-10): 1402004761
Gebundene Ausgabe
Erscheinungsjahr: 2002
Herausgeber: Springer-Verlag New York Inc.
412 Seiten
Gewicht: 0,777 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-10-09T08:03:32+02:00 (Berlin)
Detailseite zuletzt geändert am 2023-03-22T20:49:59+01:00 (Berlin)
ISBN/EAN: 1402004761

ISBN - alternative Schreibweisen:
1-4020-0476-1, 978-1-4020-0476-6
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: philippe, van huffel, lemmerling, lemmer, lemme
Titel des Buches: analysis algorithms, error analysis, about squares, total

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Daten vom Verlag:

Autor/in: S. van Huffel; P. Lemmerling
Titel: Total Least Squares and Errors-in-Variables Modeling - Analysis, Algorithms and Applications
Verlag: Springer; Springer Netherland
398 Seiten
Erscheinungsjahr: 2002-02-28
Dordrecht; NL
Gewicht: 1,660 kg
Sprache: Englisch
106,99 € (DE)
109,99 € (AT)
118,00 CHF (CH)
POD
X, 398 p.

BB; Algebra; Hardcover, Softcover / Mathematik/Arithmetik, Algebra; Algebra; Verstehen; Analysis; Curve fitting; Estimator; Fitting; Matrix; Measure; algebra; algorithms; best fit; modeling; matrix theory; Linear and Multilinear Algebras, Matrix Theory; Statistics, general; Applications of Mathematics; Numeric Computing; Algorithms; Algebra; Linear Algebra; Statistics; Applications of Mathematics; Numerical Analysis; Algorithms; Wahrscheinlichkeitsrechnung und Statistik; Angewandte Mathematik; Numerische Mathematik; Algorithmen und Datenstrukturen; BC; EA

Preface. Introduction to Total Least Squares and Errors-in-Variables Modeling; S. Van Huffel, P. Lemmerling. Part I: Basic Concepts and Analysis in EIV Modeling. TLS and its Improvements by Semiparametric Approach; S. Amari, M. Kawanabe. Unifying Least Squares, Total Least Squares and Data Least Squares; C.C. Paige, Z. Strakos. Bounds for the Least Squares Residual Using Scaled TLS; C.C. Paige, Z. Strakos. Part II: Total Least Squares Algorithms. Recent Developments in Rank Revealing and Lanczos Methods for Total Least Squares Related Problems; R.D. Fierro, P.C. Hansen. A Regularized Total Least Squares Algorithm; H. Guo, R.A. Renaut. The Parametric Quadratic Form Method for Solving TLS Problems with Elementwise Weighting; A. Premoli, M.L. Rastello. Part III: Structured Total Least Squares Problems. Structured Total Least Squares: Analysis, Algorithms and Applications; P. Lemmerling, S. Van Huffel. Fast Structured Total Least Squares Algorithms via Exploitation of the Displacement Structure; N. Mastronardi, et al. The Extended STLS Algorithm for Minimizing the Extended LS Criterion; A. Yeredor. Part IV: Nonlinear EIV Models and Statistical Estimators. Bayesian Smoothing for Measurement Error Problems; S.M. Berry, et al. On the Polynomial Measurement Error Model; Chi-Lun Cheng, H. Schneeweiss. On Consistent Estimators in Nonlinear Functional EIV Models; A. Kukush, S. Zwanzig. On Consistent Estimators in Linear and Bilinear Multivariate Errors-in-Variables Models; A. Kukush, et al. Identification of Semi-Linear Models Within an Errors-in-Variables Framework; R. Pintelon, J. Schoukens. Cox's Proportional Hazards Model under Covariate Measurement Error; T. Augustin, R. Schwarz. Part V: EIV Modeling with Bounded Uncertainties. State-Space Estimation with Uncertain Models; A.H. Sayed, A. Subramanian. Models for Robust Estimation and Identification; S. Chandrasekaran, K. Schubert. Robust Solutions to Linear Approximation Problems Under Ellipsoidal Uncertainty; G.A. Watson. Part VI: Curve Fitting. QR Factorization of the Jacobian in Some Structured Nonlinear Least Squares Problems; Å. Björck. Neural Minor Component Analysis and TLS; G. Cirrincione, M. Cirrincione. On the Structural Line Segment Model; O. Davidov, et al. Model Fitting for Multiple Variables by Minimising the Geometric Mean Deviation; C. Tofallis. Part VII: EIV Estimation in System Identification. Perspectives on Errors-in-Variables Estimation for Dynamic Systems; T. Söderström, et al. Errors-in-Variables Filtering in Behavioural and State-Space Contexts, R. Guidorzi, et al. Weighted Total Least Squares, Rank Deficiency and Linear Matrix Structures; B. De Moor. Frequency-Domain TLS and GTLS Algorithms for Modal Analysis Applications; P. Verboven, et al. Part VIII: EIV Estimation in Signal Processing. A New Decimative Spectral Estimation Method with Unconstrained Model Order and Decimation Factor; S.-E. Fotinea, et al. Modeling Audio with Damped Sinusoids Using Total Least Squares Algorithms; W. Verhelst, et al. Real-Time TLS Algorithms in Gaussian and Impulse Noise Environments; Da-Zeng Feng, et al. Part IX: EIV Applications in Other Fields. Efficient Computation of the Riemannian SVD in Total Least Squares Problems in Information Retrieval; R.D. Fierro, M.W. Berry. Constrained Total Least Squares for Color Image Reconstructio