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Article

Title: Classification of linear estimators (English)
Author: Kovanic, Pavel
Language: English
Journal: Kybernetika
ISSN: 0023-5954
Volume: 15
Issue: 3
Year: 1979
Pages: (193)-203
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Category: math
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MSC: 62J05
MSC: 93E10
MSC: 93E11
MSC: 94A05
idZBL: Zbl 0413.93056
idMR: MR542175
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Date available: 2009-09-24T17:07:30Z
Last updated: 2012-06-05
Stable URL: http://hdl.handle.net/10338.dmlcz/125763
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Reference: [1] P. Swerling: Modern estimation methods from the viewpoint of the method of least squares.IEEE Trans. on AC, AC-16, (1971) No. 6.
Reference: [2] P. A. V. B. Swammy: Statistical inference in random coefficient regression models.(Lecture notes in operations research and mathematical systems, vol. 55.) Springer-Verlag, Berlin-Heidelberg-New York 1971. MR 0329146
Reference: [3] P. Kovanic: Minimum penalty estimate.Kybernetika 8, (1972), 5, 367-383. Zbl 0246.62073, MR 0326947
Reference: [4] P. Kovanic: Generalized linear estimate of functions of random matrix arguments.Kybernetika 10 (1974), 4, 303-316. Zbl 0284.62038, MR 0373722
Reference: [5] C. R. Hallum T. O. Lewis T. L. Boullion: Estimation in the restricted general linear model with a positive semidefinite covariance matrix.Communications in statistics, 1 (2), (1973), 157-166. MR 0317469
Reference: [6] T. O. Lewis P. L. Odell: A generalization of the Gauss-Markov theorem.J. Am. Stat. Assoc. 61 (1966), 1063-1066. MR 0203873
Reference: [7] M. Blum: An extension of the minimum mean square prediction theory for sampled input signals.IRE Trans., IT-2 (1956), 176.
Reference: [8] P. Kovanic: Generalized discrete analogy of the Zadeh-Ragazzini problem.Automation and Telemechanics (In Russian) XXVII (1966), 2, 37. MR 0205741
Reference: [9] I. D. Krutko: Statistical dynamics of impulse systems.(In Russian). Sovetskoe radio, Moskva 1963.
Reference: [10] A. F. Goodman: Extended iterative weighted least squares: Estimation of a linear model in the presence of complications.Naval research logistics quarterly 18 (1971), 2, 243 - 276. Zbl 0229.62031
Reference: [11] E. D. Farmer: A method of prediction for nonstationary processes and its application to the problem of load estimation.Transactions of IFAC 1963.
Reference: [12] K. S. Banerjee R. N. Carr: A comment on ridge regression. Biased estimation for nonorthogonal problems.Technometrics 13 (1971), No. 4.
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