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Publications in Math-Net.Ru
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Program for constructing quite interpretable elementary and non-elementary quasi-linear regression models
Proceedings of ISP RAS, 35:4 (2023), 129–144
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Generalization of a method for straightening coefficients distorted due to multicollinearity in regression models with different degrees of explanatory variables correlation
Inform. Primen., 16:4 (2022), 20–25
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A method for constructing nonelementary linear regressions based on mathematical programming
Probl. Upr., 2022, no. 4, 3–14
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Multiple L${}_{v}$-estimation of linear regression models
Russian Journal of Cybernetics, 3:4 (2022), 32–40
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Method of straightening distorted due to multicollinearity coefficients in regression models
Inform. Primen., 15:2 (2021), 60–65
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Multi-criteria approach to pair-multiple linear regression models constructing
Izv. Saratov Univ. Math. Mech. Inform., 21:1 (2021), 88–99
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Constructing power-exponential and linear-logarithmic regression models
Probl. Upr., 2021, no. 3, 25–32
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A program for constructing of quite interpretable and RTF-adequate linear regression models
Sistemy i Sredstva Inform., 31:4 (2021), 18–26
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Multifactor fully connected linear regression models without constraints to the ratios of variables errors variances
Inform. Primen., 14:2 (2020), 92–97
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Analytical dependences between the determination coefficients and the ratio of error variances of the test items in Deming regression model
Mat. Mod. Chisl. Met., 2016, no. 10, 104–116
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