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[1] Antoch J., Hušková M.: Some $M$-tests for detection of a change in linear models. Proceedings of the Fourth Prague Symposium on Asymptotic Statistics, ed. P. Mandl, M. Hušková, Charles University, 1989, 123-136. MR 1051432
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[4] Hackl P.: Testing the constancy of regression models over time. Vandenhoeck and Ruprecht, 1980. MR 0587311 | Zbl 0435.62089
[5] Hušková M.: Nonparametric tests for change in regression models at an unknown time point. International Workshop on Theory and Practice in Data Analysis, Akademie der Wissenschaften der DDR, Report R-MATH-01/89, 1989a, 101-124. MR 1015751
[6] Hušková M.: Recursive M-test for change point problem. Structural Change: Analysis and Forecasting, ed. A. H. Westlund, Stockholm School of Economics (in print), 1989b.
[7] Hušková M.: Stochastic approximation type estimators in linear models. Submitted, 1989c.
[8] Hušková M., Sen P. K.: Nonparametric tests for shift and change in regression at an unknown time point. The future of the world economy: Economic growth and structural changes, ed. W. Krelle, Springer Verlag, 1989, 73-87.
[9] Krishnaiah P. R., Miao B. Q.: Review estimates about change point. Handbook of Statistics vol. 7, eds. P. R. Krishnaiah and C. R. Rao, North Holland, 1988, 390-402.
[10] Poljak B., Tsypkin Y.Z.: Adaptive estimation algorithm. Automation and Remote Control 3 (1979), 71-84.
[11] Sen P. K.: Recursive M-tests for the constancy of multivariate regression relationship over time. Sequential Analysis 3 (1984), 191-211. MR 0783036
[12] Zacks S.: Survey of classical and Bayesian approaches to the change point problem: fixed sample and sequential procedures of testing and estimation. Recent Advances in Statistics. Papers in Honour of Herman Chernoff's Sixtieth Birthday, New York, Acad. Press, 1983, 245-269. MR 0736536 | Zbl 0563.62062
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