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Список литературы
|
|
|
1. |
Андерсон Т., Статистический анализ временных рядов, Мир, М., 1976 |
2. |
Хеннан Э., Многомерные временные ряды, Мир, М., 1974 |
3. |
Tong H., Nonlinear time series. A dynamical system approach, Oxford University Press, Oxford, 1990 |
4. |
Tsay R. S., Analysis of financial time series, Wiley, Hoboken, 2010 |
5. |
Tong H., “Some Comments on the Canadian Lynx Data”, J. Roy. Statist. Soc. Ser. A, 140 (1977), 432–436 |
6. |
Subba Rao T., “On the Theory of Bilinear Time Series Models”, J. Roy. Statist. Soc. Ser. B, 43:2 (1981), 244–255 |
7. |
Tong H., Lim K. S., “Threshold Autoregression, Limit Cycles and Cyclical Data”, J. Roy. Statist. Soc. Ser. B, 42:3 (1980), 245–292 |
8. |
Singpurwalla N. D., Soyer R., “Assessing Software Reliability Growth Using a Random Coefficient Autoregressive Process and its Ramifications”, IEEE Trans. Software Engrg., SE-11:12 (1985), 1456–1464 |
9. |
Ghirmai T., “A Random-Coefficient Third-Order Autoregressive Process”, Digit. Signal Process, 38 (2015), 25–46 |
10. |
Lee H. T., Yoder J. K., Mittelhammer R. C., et al., “A Random Coefficient Autoregressive Markov Regime Switching Model for Dynamic Futures Hedging”, J. Futures Market, 26:2 (2006), 103–129 |
11. |
Tang D., Yu J., Chen X., Makis V., “An Optimal Condition-based Maintenance Policy for a Degrading System Subject to the Competing Risks of Soft and Hard Failure”, Computers & Industrial Engineering, 83:1 (2015), 100–110 |
12. |
Nicholls D. F., Quinn B. G., Random coefficient autoregressive models: an introduction, Springer, N.Y., 1982 |
13. |
Hwang S. Y., Basawa I. V., “Parameter Estimation for Generalized Random Coefficient Autoregressive Processes”, J. Statist. Plann. Inference, 68:2 (1998), 323–337 |
14. |
Горяинов А. В., Горяинова Е. Р., “Сравнение эффективности оценок методов наименьших модулей и наименьших квадратов в авторегрессионной модели со случайным коэффициентом”, АиТ, 2016, № 9, 84–95 ; Goryainov A. V., Goryainova E. R., “Comparison of Efficiency of Estimates by the Methods of Least Absolute Deviations and Least Squares in the Autoregression Model with Random Coefficient”, Autom. Remote Control, 77:9 (2016), 1579–1588 |
15. |
Aue A., Horváth L., Steinebach J., “Estimation in Random Coefficient Autoregressive Models”, J. Time Ser. Anal., 27:1 (2006), 61–76 |
16. |
Maronna R. A., Martin D., Yohai V., Robust Statistics: Theory and Methods, Wiley, Chichester, 2006 |
17. |
Tjøstheim D., “Estimation in Nonlinear Time Series Models”, Stochast. Process. Appl., 21:2 (1986), 251–273 |
18. |
Хампель Ф., Рончетти Э., Рауссеу П., Штаэль В. А., Робастность в статистике. Подход на основе функций влияния, Мир, М., 1989 |
19. |
Леман Э., Теория точечного оценивания, Наука, М., 1991 |
20. |
Stout W. F., Almost sure convergence, Acad. Press, N.Y., 1974 |
21. |
Ибрагимов И. А., “Центральная предельная теорема для одного класса зависимых случайных величин”, Теор. вероят. и ее применен., 8:1 (1963), 89–94 |
22. |
Andersen P. K., Gill R. D., “Cox's Regression Model for Counting Processes: a Large Sample Study”, Ann. Statist., 10:4 (1982), 1100–1120 |