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[1] T. W. Anderson: An Introduction to Multivariate Statistical Analysis. John Wiley & Sons, Inc., New York, Chapman and Hall, Ltd., 1958. MR 0091588 | Zbl 0083.14601
[2] Д. K. Фаддеев B. H. Фаддеева: Вычислительные методы линейной алгебры. Физматгиз, Mocквa 1960. Zbl 1225.94001
[3] M. G. Kendall, A. Stuart: The Advanced Theory of Statistics. Vol. 2. Griffin, London. 1961.
[4] A. S. Householder: The Theory of Matrices in Numerical Analysis. Waltham, Mas., Blaisdell. 1964. MR 0175290 | Zbl 0161.12101
[5] A. Bjorck: Solving Linear Least Squares Problems by Gram-Schmidt Orthogonalization. BIT 7, 1967, 1-21. MR 0214275
[6] D. W. Clarke: Generalized Least Squares Estimation of the Parameters of a Dynamic Model. Preprints, First IFAC Symposium on Identification, Prague, 1967.
[7] P. Eykhoff: Process Parameter and State Estimation. Survey Paper, First IFAC Symposium on Identification, Prague, 1967.
[8] D. Q. Mayne: A Method for Estimating Discrete Time Transfer Functions. In: Advances in Computer Control, Second UKAC Control Convention, The Univ. of Bristol, 1967.
[9] K. Y. Wong, E. Polak: Identification of Linear Discrete Time System Using the Instrumental Variable Method. IEEE Trans, on Automatic Control, AC-12, 1967, 707-718.
[10] V. Panuska: A Stochastic Approximation Method for Identification of Linear Systems using Adaptive Filtering. In preprints JACC, The Univ. of Michigan, 1968, 1014-1021.
[11] R. Deutsch: Estimation Theory. Prentice-Hall, Inc., Englewood Cliffs, N. J., 1969. MR 0192572
[12] R. Hastings-James, M. W. Sage: Recursive Generalized Least Squares Procedure for On-Line Identification of Process Parameters. Proc. of the IEE 116, 12, 1969, 2057-2062.
[13] K. Smuk, V. Peterka: On-line Estimation of Dynamic Model Parameters from Input-Output Data. 4th IFAC Congress, Warsaw, 1969.
[14] V. Peterka, A. Halousková: Tally Estimate of Astrom Model for Stochastic Systems. Second IFAC Symposium on Identification and Process Parameter Estimation, Prague, 1970.
[15] P. C. Young: An Extension to the Instrumental Variable Method for Identification of a Noisy Dynamic Process. Dep. Eng., Univ. Cambridge, England, Techn. Note CN/70/1, 1970.
[16] P. C. Young, R. Hastings-James: Identification and Control of Discrete Dynamic Systems Subject to Disturbances with Rational Spectral Density. Proc. 9th IEEE Symp., Adaptive Processes, 1970.
[17] P. G. Kaminski A. E. Bryson Ir. S. F. Schmidt: Discrete Square Root Filtering. A Survey of Current Techniques. IEEE Trans, on Automatic Control AC-16, 1971, 727-735.
[18] L. Ljung T. Soderstrom, I. Gustavsson: Counterexamples to General Convergence of a Commonly Used Recursive Identification Method. IEEE Trans. on Automatic Control, AC-20, 1975, 643-652. MR 0401297
[19] V. Peterka: A Square Root Filter for Real Time Multivariate Regression. Kybernetika 11, 1975, 53-67. MR 0403769 | Zbl 0314.62028
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