Books on the topic 'Linear estimation problems'
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Kontoghiorghes, Erricos John. Parallel algorithms for linear models: Numerical methods and estimation problems. Boston: Kluwer Academic, 2000.
Find full textHesselager, Ole. On the application of bootstrap in some empirical linear bayes estimation problems. Copenhagen: University of Copenhagen, 1988.
Find full textPester, Cornelia. A posteriori error estimation for non-linear eigenvalue problems for differential operators of second order with focus on 3D vertex singularities. Berlin: Logos-Verl., 2006.
Find full textM, Milanese, ed. Bounding approaches to system identification. New York: Plenum Press, 1996.
Find full text1975-, Sims Robert, and Ueltschi Daniel 1969-, eds. Entropy and the quantum II: Arizona School of Analysis with Applications, March 15-19, 2010, University of Arizona. Providence, R.I: American Mathematical Society, 2011.
Find full textParallel Algorithms for Linear Models: Numerical Methods and Estimation Problems. Springer, 2011.
Find full textKontoghiorghes, Erricos. Parallel Algorithms for Linear Models: Numerical Methods and Estimation Problems. Springer London, Limited, 2012.
Find full textCardot, Hervé, and Pascal Sarda. Functional Linear Regression. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.2.
Full textNakonechnyi, Oleksandr, and Yuri Podlipenko. Guaranteed Estimation Problems in the Theory of Linear Ordinary Differential Equations with Uncertain Data. River Publishers, 2021.
Find full textNakonechnyi, Oleksandr, and Yuri Podlipenko. Guaranteed Estimation Problems in the Theory of Linear Ordinary Differential Equations with Uncertain Data. River Publishers, 2022.
Find full textNakonechnyi, Oleksandr, and Yuri Podlipenko. Guaranteed Estimation Problems in the Theory of Linear Ordinary Differential Equations with Uncertain Data. River Publishers, 2021.
Find full textNakonechnyi, Oleksandr, and Yuri Podlipenko. Guaranteed Estimation Problems in the Theory of Linear Ordinary Differential Equations with Uncertain Data. River Publishers, 2022.
Find full textNakonechnyi, Oleksandr, and Yuri Podlipenko. Guaranteed Estimation Problems in the Theory of Linear Ordinary Differential Equations with Uncertain Data. River Publishers, 2022.
Find full textFerraty, Frédéric, and Philippe Vieu. Kernel Regression Estimation for Functional Data. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.4.
Full textKontoghiorghes, Erricos John. Parallel Algorithms for Linear Models - Numerical Methods and Estimation Problems (ADVANCES IN COMPUTATIONAL ECONOMICS Volume 15) (Advances in Computational Economics). Springer, 1999.
Find full textMas, André, and Besnik Pumo. Linear Processes for Functional Data. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.3.
Full textWitkov, Carey, and Keith Zengel. Chi-Squared Data Analysis and Model Testing for Beginners. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198847144.001.0001.
Full textMilanese, M. Bounding Approaches to System Identification. Springer, 2013.
Find full textPiet-Lahanier, H., É. Walter, J. Norton, and M. Milanese. Bounding Approaches to System Identification. Springer, 2013.
Find full textŚlusarski, Marek. Metody i modele oceny jakości danych przestrzennych. Publishing House of the University of Agriculture in Krakow, 2017. http://dx.doi.org/10.15576/978-83-66602-30-4.
Full textKelly, Phil. Defending Classical Geopolitics. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228637.013.279.
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