\n| \n \u0417\u0430\u0431\u043e\u043d<\/span><\/p>\n\u0442\u043e\u04b7\u0438\u043a\u04e3<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/p>\n \n \n \n\n\n| \n \u041d\u0430\u043c\u0443\u0434<\/span><\/p>\n\u0442\u0435\u0445\u043d\u0438\u043a\u04e3<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/p>\n \n \n \n\n\n| \n \u0421\u043e\u043b<\/span><\/p>\n2022<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/p>\n \n \n \n\n\n| \n \u0421\u0430\u04b3\u0438\u0444\u0430<\/span><\/p>\n15<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n <\/p>\n \n \n <\/p>\n \n \n <\/p>\n \n \n \u0420\u04ef\u0439\u0445\u0430\u0442\u0438 \u0430\u0434\u0430\u0431\u0438\u0451\u0442\u04b3\u043e\u0438 \u0438\u0441\u0442\u0438\u0444\u043e\u0434\u0430\u0448\u0443\u0434\u0430<\/em><\/strong><\/span><\/p>\n\n- \n
\n- Abraham, B. (1981). Missing Observations in Time Series. Communications in statistics Theory A, 10, 1643-1653.<\/em><\/li>\n
- D. Marx and P.H.C. Eilers (1998). Direct generalized additive modeling with penalized likelihood, Computational Statistics and Data Analysis, 28, 193-209.<\/em><\/li>\n
- Beveridge S. (1992). Least Squares Estimation of Missing Values in Time Series. Communications in statistics Theory A, 21(12), 3479-3496.<\/em><\/li>\n
- Brockwell, P. J., & Davis, R. A. (1991). Time Series: Theory and Methods. New York, USA: Springer-Verlag.<\/em><\/li>\n
- De Boor (1978). A Practical Guide to Splines, Springer, New York.<\/em><\/li>\n
- Hamilton, J. D. (1994). Time Series Analysis. New Jersey, USA: Princeton University Press.<\/em><\/li>\n
- Dierckx, Curve and surface fitting with splines, Clarendon Press, Oxford, 1993.<\/em><\/li>\n
- H.C. Eilers and B.D. Marx (1996). Flexible smoothing using B-splines and penalized likelihood (with comments and rejoinders). Statistical Science, 11(2), 89-121.<\/em><\/li>\n
- J. Green and B.W. Silverman, Nonparametric regression and generalized linear models. Chapman and Hall, London, 1994. <\/em><\/li>\n
- Robert H. Shumway, David S. Stoffer. Time Series Analysis and Its Applications. Springer, New York, 2006<\/em>.<\/em><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/div>\n<\/div>\n
<\/div>\n<\/div>\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n <\/p>\n \n \n <\/p>\n \n \n <\/p>\n \n \n \u0422\u0430\u044a\u0440\u0438\u0445\u0438 \u043d\u0430\u0448\u0440<\/strong><\/span><\/p>\n2023-09-25<\/p>\n<\/div>\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n <\/div>\n<\/div>\n<\/div>\n <\/p>\n","protected":false},"excerpt":{"rendered":" \u041c\u0443\u0430\u043b\u043b\u0438\u0444\u043e\u043d \u041d\u0438\u0437\u043e\u043c\u0438\u0442\u0434\u0438\u043d\u043e\u0432 \u0410.\u0418. \u2013 \u0434\u043e\u043a\u0442\u043e\u0440\u0438 \u0444\u0430\u043b\u0441\u0430\u0444\u0430 \u0430\u0437 \u0440\u04ef\u0439\u0438 \u0438\u0445\u0442\u0438\u0441\u043e\u0441 (PhD), \u043e\u043c\u04ef\u0437\u0433\u043e\u0440\u0438 \u043a\u0430\u043b\u043e\u043d\u0438 \u043a\u0430\u0444\u0435\u0434\u0440\u0430\u0438 \u0438\u049b\u0442\u0438\u0441\u043e\u0434\u0438 \u0440\u0430\u049b\u0430\u043c\u04e3, \u0414\u043e\u043d\u0438\u0448\u043a\u0430\u0434\u0430\u0438 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